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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v9i1e45360</article-id>
      <article-id pub-id-type="pmid">37261899</article-id>
      <article-id pub-id-type="doi">10.2196/45360</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Profiles and Findings of Population-Based Esophageal Cancer Screening With Endoscopy in China: Systematic Review and Meta-analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Sanchez</surname>
            <given-names>Travis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Zhang</surname>
            <given-names>Shaokai</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Su</surname>
            <given-names>Zheng</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Li</surname>
            <given-names>He</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5623-1073</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Teng</surname>
            <given-names>Yi</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5859-8645</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Yan</surname>
            <given-names>Xinxin</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3056-0055</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Cao</surname>
            <given-names>Maomao</given-names>
          </name>
          <degrees>MPhil</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8064-7183</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Yang</surname>
            <given-names>Fan</given-names>
          </name>
          <degrees>MPhil</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3414-8869</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>He</surname>
            <given-names>Siyi</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7812-997X</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Zhang</surname>
            <given-names>Shaoli</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2110-7451</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Li</surname>
            <given-names>Qianru</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0006-4379-2337</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author">
          <name name-style="western">
            <surname>Xia</surname>
            <given-names>Changfa</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-9097-1369</ext-link>
        </contrib>
        <contrib id="contrib10" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Li</surname>
            <given-names>Kai</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6683-517X</ext-link>
        </contrib>
        <contrib id="contrib11" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Chen</surname>
            <given-names>Wanqing</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Office of Cancer Screening, National Cancer Center of China/Cancer Hospital</institution>
            <institution>Chinese Academy of Medical Sciences and Peking Union Medical College</institution>
            <addr-line>No 17 Panjia-yuan South Lane, Chaoyang District</addr-line>
            <addr-line>Beijing, 100021</addr-line>
            <country>China</country>
            <phone>86 13241914190</phone>
            <fax>86 87787039</fax>
            <email>chenwq@cicams.ac.cn</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1159-1884</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Office of Cancer Screening, National Cancer Center of China/Cancer Hospital</institution>
        <institution>Chinese Academy of Medical Sciences and Peking Union Medical College</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Department of Surgical Oncology and General Surgery</institution>
        <institution>Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors</institution>
        <institution>Ministry of Education, The First Affiliated Hospital of China Medical University</institution>
        <addr-line>Shenyang</addr-line>
        <country>China</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Wanqing Chen <email>chenwq@cicams.ac.cn</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>1</day>
        <month>6</month>
        <year>2023</year>
      </pub-date>
      <volume>9</volume>
      <elocation-id>e45360</elocation-id>
      <history>
        <date date-type="received">
          <day>30</day>
          <month>1</month>
          <year>2023</year>
        </date>
        <date date-type="rev-request">
          <day>23</day>
          <month>2</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>8</day>
          <month>3</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>18</day>
          <month>4</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©He Li, Yi Teng, Xinxin Yan, Maomao Cao, Fan Yang, Siyi He, Shaoli Zhang, Qianru Li, Changfa Xia, Kai Li, Wanqing Chen. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 01.06.2023.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2023/1/e45360" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Population-based esophageal cancer (EC) screening trials and programs have been conducted in China for decades; however, screening strategies have been adopted in different regions and screening profiles are unclear.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>We performed a meta-analysis to profile EC screening in China by positivity rate, compliance rate, and endoscopy findings, aiming to provide explicit evidence and recommendations for EC screening programs.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>English (PubMed, Embase) and Chinese (China National Knowledge Infrastructure, Wanfang) language databases were systematically searched for population-based EC screening studies in the Chinese population until December 31, 2022. A meta-analysis was performed by standard methodology using a random-effects model. Pooled prevalence rates were calculated for three groups: high-risk areas with a universal endoscopy strategy, rural China with a risk-stratified endoscopic screening (RSES) strategy, and urban China with an RSES strategy. Positive cases included lesions of severe dysplasia, carcinoma in situ, intramucosal carcinoma, submucosal carcinoma, and invasive carcinoma.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>The pooled positivity rate of the high-risk population was higher in rural China (44.12%) than in urban China (23.11%). The compliance rate of endoscopic examinations was the highest in rural China (52.40%), followed by high-risk areas (50.11%), and was the lowest in urban China (23.67%). The pooled detection rate of positive cases decreased from 1.03% (95% CI 0.82%-1.30%) in high-risk areas to 0.48% (95% CI 0.25%-0.93%) in rural China and 0.12% (95% CI 0.07%-0.21%) in urban China. The pooled detection rate of low-grade intraepithelial neoplasia (LGIN) was also in the same order, being the highest in high-risk areas (3.99%, 95% CI 2.78%-5.69%), followed by rural China (2.55%, 95% CI 1.03%-6.19%) and urban China (0.34%, 95% CI 0.14%-0.81%). Higher detection rates of positive cases and LGIN were observed among males than among females and at older ages. The pooled early detection rate was 81.90% (95% CI 75.58%-86.88%), which was similar to the rates in high-risk areas (82.09%), in rural China (80.76%), and in urban China (80.08%).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Under the current screening framework, a higher screening benefit was observed in high-risk areas than in other regions. To promote EC screening and reduce the current inequality of screening in China, more focus should be given to optimizing strategies of high-risk individual assessment and surveillance management to improve compliance with endoscopic examination.</p>
        </sec>
        <sec sec-type="Trial Registration">
          <title>Trial Registration</title>
          <p>PROSPERO CRD42022375720; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=375720</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>esophageal cancer</kwd>
        <kwd>screening</kwd>
        <kwd>high-risk individuals</kwd>
        <kwd>detection rates</kwd>
        <kwd>China</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Esophageal cancer (EC) represents a global public health burden, with the primary pathological type being esophageal squamous cell carcinoma (ESCC) [<xref ref-type="bibr" rid="ref1">1</xref>]. More than 50% of global ESCC cases occur in China, causing severe disease and an economic burden for the country [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. A series of prevention and control strategies for EC have been implemented in China since the 1960s, especially in well-known high-risk areas such as Linzhou of Henan Province, where the incidence and mortality of EC were estimated to be approximately five times higher than the national average levels [<xref ref-type="bibr" rid="ref4">4</xref>]. These strategies and actions have brought success, contributing to an average 4.5% reduction in the incidence and mortality of EC in China since 2000 [<xref ref-type="bibr" rid="ref5">5</xref>]. In addition, the results of a screening program in high-risk areas in China demonstrated the effectiveness of EC screening with endoscopy examination in reducing EC incidence and mortality [<xref ref-type="bibr" rid="ref6">6</xref>], which provided high-quality evidence and strong application recommendations for international EC screening and early detection and treatment.</p>
      <p>Three organized screening programs have been launched based on the National Key Public Health Project since 2005 to conduct population-based EC screening in the high-risk areas of Huaihe River and urban China [<xref ref-type="bibr" rid="ref7">7</xref>]. The primary aim of these programs is to reduce the incidence and mortality of EC and to explore a suitable and feasible EC screening strategy. In practice, two main EC screening strategies have been adopted and implemented in China. One is the universal endoscopy screening strategy, which is used in high-risk areas. The other is the risk-stratified endoscopic screening (RSES) strategy, which provides endoscopies for a limited group of individuals at high risk of EC and is currently widely implemented in nonhigh-risk areas [<xref ref-type="bibr" rid="ref7">7</xref>]. These programs and other population-based ESCC screening studies have covered more than 150 counties or cities in China [<xref ref-type="bibr" rid="ref7">7</xref>], providing and accumulating a great deal of experience and real-world data for ESCC prevention and control in China and internationally.</p>
      <p>Clear and comprehensive knowledge of the profile of EC screening, including the positivity rate of high-risk individuals for EC, compliance with endoscopy screening, and endoscopy findings in real-world EC screening programs, has potential public health value. For instance, such knowledge would help health policy makers understand the actual acceptability of EC screening, direct benefits from EC screening, and burden of surveillance endoscopy. In addition, this crucial real-world evidence would promote the further implementation of EC screening programs in China and other countries that face a high EC burden. To the best of our knowledge, EC screening profiles in China are unclear based on existing studies and the literature. To obtain a comprehensive profile of EC screening in China, we performed this systematic review and meta-analysis to estimate the positivity rate of EC among high-risk individuals, compliance with endoscopy screening, and endoscopy findings by high-risk and nonhigh-risk areas (rural China and urban China). By summarizing these indices, we hope to provide more explicit evidence and recommendations for Chinese EC prevention and control and to promote further EC screening in other countries facing the threat of a high EC burden, which has great importance for public health.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Design</title>
        <p>The protocol for this systematic review was published in the International Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42022375720) and the review was designed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines 2020 [<xref ref-type="bibr" rid="ref8">8</xref>].</p>
      </sec>
      <sec>
        <title>Data Sources and Search Strategy</title>
        <p>The English-language (PubMed, Embase) and Chinese (China National Knowledge Infrastructure, Wanfang) databases were systematically searched for population-based EC screening studies in the Chinese population until December 31, 2022, in any language. The following relevant Medical Subject Heading (MeSH) terms and key words were used for the search: esophageal neoplasms, screening, and China (see Table S1 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref> for the full search strategy). Two researchers (HL, YT) performed the literature search independently and discrepancies were resolved by consultation with a third researcher (XY).</p>
      </sec>
      <sec>
        <title>Study Selection</title>
        <sec>
          <title>Inclusion Criteria</title>
          <p>Studies were selected based on the following inclusion criteria: (1) studies that reported compliance with endoscopy examination and/or endoscopy findings from population-based EC screening in the Chinese population without restrictions on age; and (2) cross-sectional studies, cohort studies, and randomized controlled trials that reported baseline findings.</p>
        </sec>
        <sec>
          <title>Exclusion Criteria</title>
          <p>Studies were excluded if they (1) were nonpopulation-based screening studies, (2) lacked information on compliance rates with endoscopy exam and endoscopy findings of positive cases or low-grade intraepithelial neoplasia (LGIN), and (3) were studies with duplicated data for all outcomes of interest published elsewhere or parts of another study from the same geographical location.</p>
        </sec>
      </sec>
      <sec>
        <title>Data Extraction and Quality Assessment</title>
        <p>For each included study, two reviewers (HL, YT) independently assessed the studies and extracted the data for analysis. The extracted information included the first author and year of publication, study periods, study region, number of study centers, screening strategy (universal endoscopy screening/RSES), sex (proportion of males), age, available data of sex-specific and age-specific subgroups, and available data of early detection among patients with positive screening results.</p>
        <p>The study quality and risk of bias were assessed using an instrument developed by Hoy and colleagues [<xref ref-type="bibr" rid="ref9">9</xref>] for population-based prevalence studies. The tool has 10 questions, and a score of 1 (yes) or 0 (no) was assigned for each item (see Table S2 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Scores were summed across items to generate an overall quality score that ranged from 0 to 10, and studies were then classified as having a low (scores≥8), moderate (scores of 6-7), or high (scores≤5) risk of bias. This method has been used in previous systematic reviews. This assessment tool was tested in previous studies; it is easy to use and deals with risk of bias well.</p>
      </sec>
      <sec>
        <title>Outcomes Assessed</title>
        <p>The pooled outcomes assessed included the positivity rate of high-risk individuals for EC/upper gastrointestinal (UGI) cancer, compliance rates to endoscopy examinations, prevalence of endoscopy findings (positive cases, LGIN, and negative endoscopy), and early detection rate. The definition of each index is described in Table S3 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. Positive cases included lesions of severe dysplasia, carcinoma in situ, intramucosal carcinoma, submucosal carcinoma, and invasive carcinoma. LGIN included lesions of mild dysplasia and moderate dysplasia. Negative endoscopy findings were defined as a baseline endoscopic examination that did not reveal any of the dysplasia lesions mentioned above.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>We used meta-analysis techniques with logit transformation to calculate the pooled proportions along with the corresponding 95% CIs under a random-effects model. We calculated the pooled prevalence in three populations with different screening strategies: (1) high-risk areas with a universal endoscopy strategy, (2) rural China with an RSES strategy, and (3) urban China with an RSES strategy. Analyses of the pooled prevalence of endoscopy findings by sex and age group (40-49, 50-59, and 60-69 years) were also performed. We performed sensitivity analyses by publication year, sample size, and the number of study centers to evaluate the robustness of the study.</p>
        <p>Heterogeneity between studies was assessed with the <italic>I</italic>² statistic, which estimates the percentage of the total variation across studies due to true between-study differences. Generally, <italic>I²</italic>values greater than 60%-70% indicate the presence of substantial heterogeneity. Publication bias was inspected visually on a funnel plot and by the Egger test; <italic>P</italic>&#60;.05 was considered statistically significant. All meta-analyses were carried out using R software (version 4.1.0; R Foundation for Statistical Computing, Vienna, Austria).</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>This is a meta-analysis of published studies and data, and did not involve active human participants and/or animals. The present study used only publicly available summary-level statistics and did not involve individual information. Therefore, formal consent, informed consent, institutional review board approval, and ethics approval are not applicable and/or not needed.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Search Results</title>
        <p>A schematic diagram of study selection is provided in <xref rid="figure1" ref-type="fig">Figure 1</xref>. The initial search identified 3527 records, and 2703 titles and abstracts were screened after removing duplicates. A total of 215 full-length articles were evaluated in detail and 66 studies were included in the final analysis. Among these studies, 22 studies only reported the compliance of EC screening with endoscopy, 35 studies only reported the findings of endoscopy examinations, and 9 studies reported both outcomes.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Flowchart presenting the selection of studies for inclusion in the systematic review and meta-analysis. CNKI: China National Knowledge Infrastructure; EC: esophageal cancer.</p>
          </caption>
          <graphic xlink:href="publichealth_v9i1e45360_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Study Characteristics and Quality Assessment</title>
        <p>The characteristics of the 66 included studies are outlined in Table S4 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>, and the summary characteristics about reporting compliance with endoscopy examinations and endoscopy findings are summarized in <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>, respectively. Eligible ages for EC screening were 40-69 years in all studies conducted in high-risk areas and rural China, except for one study performed in Hua County with an age range of 25-65 years [<xref ref-type="bibr" rid="ref10">10</xref>]. Eligibility ages in urban China were primarily 40-74 years, and the remaining studies recommended 40-69 years.</p>
        <p>A total of 2,472,920 asymptomatic individuals were included in 31 studies that reported compliance with endoscopy examinations, one of which reported data from both rural and urban China [<xref ref-type="bibr" rid="ref11">11</xref>]. Therefore, 2,006,235 individuals were from high-risk areas during 1999-2017 (n=12) [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref12">12</xref>-<xref ref-type="bibr" rid="ref21">21</xref>], 125,473 individuals were from rural China during 2010-2017 (n=2) [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref22">22</xref>], and 341,212 individuals were from urban China during 2012-2019 (n=18) [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref23">23</xref>-<xref ref-type="bibr" rid="ref39">39</xref>], as shown in <xref ref-type="table" rid="table1">Table 1</xref> and Table S4 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. The details of the high-risk assessment strategy to select targets to undergo further endoscopy screening are summarized in Table S5 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>.</p>
        <p>A total of 997,004 individuals had reports of endoscopy findings in 44 studies, among which one study reported endoscopy findings in high-risk areas, rural China, and urban China [<xref ref-type="bibr" rid="ref11">11</xref>]. Therefore, a total of 876,170 individuals aged 40-69 years (n=36 studies) [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref40">40</xref>-<xref ref-type="bibr" rid="ref68">68</xref>] from high-risk areas underwent endoscopic examinations, where a universal endoscopy strategy was adopted. A total of 102,413 individuals with a high risk of EC (n=4 studies) [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref69">69</xref>-<xref ref-type="bibr" rid="ref71">71</xref>] aged 40-69 years in rural China and 18,421 individuals with a high risk of EC/UGI cancer (n=6 studies) [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref72">72</xref>-<xref ref-type="bibr" rid="ref74">74</xref>] aged 40-74 years in urban China underwent endoscopic examinations where the RSES strategy was adopted (<xref ref-type="table" rid="table2">Table 2</xref>). The number of individual study samples ranged from 1151 [<xref ref-type="bibr" rid="ref74">74</xref>] to 116,630 [<xref ref-type="bibr" rid="ref67">67</xref>] across all included studies. Study participants were enrolled from 1999 to 2019 in high-risk areas, followed by 2007 to 2017 in rural China and 2015 to 2019 in urban China. Study regions also presented disparities: study regions in high-risk areas mainly consisted of north China (22%) and southwest China (22%), followed by eastern China (19%), central China (17%), and northwest China (11%). Study regions in rural China were mostly concentrated in east China (50%) and central China (25%). Study regions in urban China were relatively evenly distributed across the country, except in central and northeast China (<xref ref-type="table" rid="table2">Table 2</xref>, Table S4 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p>
        <p>Of the 31 studies reporting compliance with EC screening using endoscopy, 12 (39%) and 19 (61%) were classified as having a low and moderate risk of bias, respectively (Table S6 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Of the 44 studies that reported findings of endoscopy examinations, 39 (89%) and 5 (11%) were classified as having a low and moderate risk of bias, respectively (Table S7 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Main characteristics of the 31 included studies that reported compliance with endoscopy exams in population-based esophageal cancer screening in China by region.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="330"/>
            <col width="230"/>
            <col width="220"/>
            <col width="190"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Characteristics</td>
                <td>High-risk areas</td>
                <td>Rural China</td>
                <td>Urban China</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Age range (years)</td>
                <td>40-69<sup>a</sup></td>
                <td>40-69</td>
                <td>40-74<sup>b</sup></td>
              </tr>
              <tr valign="top">
                <td colspan="2">Screening strategy</td>
                <td>Universal endoscopy screening</td>
                <td>Risk-stratified endoscopy screening</td>
                <td>Risk-stratified endoscopy screening</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Initial screening</td>
                <td>No</td>
                <td>Risk assessment</td>
                <td>Risk assessment</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Examination technique</td>
                <td>Endoscopy with pathology</td>
                <td>Endoscopy with pathology</td>
                <td>Endoscopy with pathology</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Number of studies<sup>c</sup></td>
                <td>12</td>
                <td>2</td>
                <td>18</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Year of enrollment</td>
                <td>1999-2017</td>
                <td>2010-2017</td>
                <td>2012-2019</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Year of publication</td>
                <td>2003-2021</td>
                <td>2020-2021</td>
                <td>2016-2021</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Number of participants</td>
                <td>2,006,235</td>
                <td>125,473</td>
                <td>341,212</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Representativeness, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Single center</td>
                <td>10 (83.33)</td>
                <td>0 (0.00)</td>
                <td>12 (66.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Multiple centers within one province</td>
                <td>0 (0.00)</td>
                <td>0 (0.00)</td>
                <td>5 (27.78)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Multiple centers across two provinces or more</td>
                <td>2 (16.67)</td>
                <td>2 (100.00)</td>
                <td>1 (5.55)</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Regions, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central China</td>
                <td>1 (8.33)</td>
                <td>0 (0.00)</td>
                <td>3 (16.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East China</td>
                <td>1 (8.33)</td>
                <td>0 (0.00)</td>
                <td>6 (33.32)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North China</td>
                <td>4 (33.33)</td>
                <td>0 (0.00)</td>
                <td>2 (11.11)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South China</td>
                <td>0 (0.00)</td>
                <td>0 (0.00)</td>
                <td>2 (11.11)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast China</td>
                <td>0 (0.00)</td>
                <td>0 (0.00)</td>
                <td>1 (5.56)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest China</td>
                <td>3 (25.00)</td>
                <td>0 (0.00)</td>
                <td>1 (5.56)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest China</td>
                <td>1 (8.33)</td>
                <td>0 (0.00)</td>
                <td>2 (11.11)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Multiple regions</td>
                <td>2 (16.68)</td>
                <td>2 (100.00)</td>
                <td>1 (5.56)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>The age of eligibility of one study in high-risk areas was 25-65 years and that of the others was 40-69 years.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>The age of eligibility of one study in urban China was &#62;35 years and that of the others was 40-69 years.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>One study reported compliance with endoscopy examinations in both rural China and urban China.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Main characteristics of the 44 included studies that reported endoscopy findings in population-based esophageal cancer screening in China by region.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="330"/>
            <col width="230"/>
            <col width="220"/>
            <col width="190"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Characteristics</td>
                <td>High-risk areas</td>
                <td>Rural China</td>
                <td>Urban China</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Number of studies<sup>a</sup></td>
                <td>36</td>
                <td>4</td>
                <td>6</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Year of enrollment</td>
                <td>1999-2019</td>
                <td>2007-2017</td>
                <td>2015-2019</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Year of publication</td>
                <td>2003-2022</td>
                <td>2019-2020</td>
                <td>2017-2021</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Number of participants</td>
                <td>876,170</td>
                <td>102,413</td>
                <td>18,421</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Age range (years)</td>
                <td>40-69<sup>b</sup></td>
                <td>40-69</td>
                <td>40-74</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Representativeness, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Single center</td>
                <td>20 (55.56)</td>
                <td>0 (0.00)</td>
                <td>3 (50.00)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Multiple centers within one province</td>
                <td>13 (36.11)</td>
                <td>3 (75.00)</td>
                <td>2 (33.33)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Multiple centers across two provinces or above</td>
                <td>3 (8.33)</td>
                <td>1 (25.00)</td>
                <td>1 (16.67)</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Regions, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central China</td>
                <td>6 (16.67)</td>
                <td>1 (25.00)</td>
                <td>0 (0.00)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East China</td>
                <td>7 (19.44)</td>
                <td>2 (50.00)</td>
                <td>1 (16.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North China</td>
                <td>8 (22.22)</td>
                <td>0 (0.00)</td>
                <td>1 (16.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South China</td>
                <td>0 (0.00)</td>
                <td>0 (0.00)</td>
                <td>1 (16.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast China</td>
                <td>0 (0.00)</td>
                <td>0 (0.00)</td>
                <td>0 (0.00)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest China</td>
                <td>8 (22.22)</td>
                <td>0 (0.00)</td>
                <td>1 (16.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest China</td>
                <td>4 (11.11)</td>
                <td>0 (0.00)</td>
                <td>1 (16.67)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Multiple regions</td>
                <td>3 (8.34)</td>
                <td>1 (25.00)</td>
                <td>1 (16.67)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>One study reported endoscopy findings in high-risk areas, rural China, and urban China.</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>The age of eligibility of one study in high-risk areas was 25-65 years and that of the others was 40-69 years.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Pooled Outcomes</title>
        <sec>
          <title>Pooled Positivity Rates of the High-Risk Population and Compliance With Endoscopic Examinations</title>
          <p>All pooled results are summarized in <xref ref-type="table" rid="table3">Table 3</xref>. A total of 373,516 (in rural China) and 1,449,536 (in urban China) individuals of the asymptomatic population completed individualized risk assessment by professional staff from EC screening programs or trials. The pooled positivity rate of the high-risk population in rural China was higher than that in urban China; the details are shown in Figure S1 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. The overall compliance rate with endoscopic examinations among the 31 included studies was 35.39% (95% CI 27.96%-42.82%), covering 2,472,920 eligible individuals for endoscopic examinations. The compliance rate was the highest in rural China, followed by high-risk areas, and was the lowest in urban China, as shown in <xref rid="figure2" ref-type="fig">Figure 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>.</p>
          <table-wrap position="float" id="table3">
            <label>Table 3</label>
            <caption>
              <p>Summary of pooled positivity rates of high-risk individuals, compliance rates of endoscopy examinations, and prevalence of endoscopy findings in population-based esophageal cancer (EC) screening in China by region.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="30"/>
              <col width="200"/>
              <col width="180"/>
              <col width="70"/>
              <col width="190"/>
              <col width="70"/>
              <col width="0"/>
              <col width="190"/>
              <col width="70"/>
              <thead>
                <tr valign="top">
                  <td colspan="2">Assessed metrics in population-based EC screening</td>
                  <td colspan="2">High-risk areas</td>
                  <td colspan="3">Rural China</td>
                  <td colspan="2">Urban China</td>
                </tr>
                <tr valign="top">
                  <td colspan="2">
                    <break/>
                  </td>
                  <td>Pooled rate, % (95% CI)</td>
                  <td>
                    <italic>I</italic>
                    <sup>2</sup>
                  </td>
                  <td>Pooled rate, % (95% CI)</td>
                  <td>
                    <italic>I</italic>
                    <sup>2</sup>
                  </td>
                  <td colspan="2">Pooled rate, % (95% CI)</td>
                  <td>
                    <italic>I</italic>
                    <sup>2</sup>
                  </td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td colspan="2">Positivity rates of high-risk individuals in EC screening<break/>  <break/>  </td>
                  <td>—<sup>a</sup></td>
                  <td>—</td>
                  <td>44.12 (28.76-60.69)</td>
                  <td>100%</td>
                  <td colspan="2">23.11 (19.52-27.13)</td>
                  <td>100%</td>
                </tr>
                <tr valign="top">
                  <td colspan="2">Compliance rates of endoscopy examinations</td>
                  <td>50.11 (36.65-63.58)</td>
                  <td>100%</td>
                  <td>52.40 (44.58-60.22）</td>
                  <td>100%</td>
                  <td colspan="2">23.67 (18.24-29.10)</td>
                  <td>100%</td>
                </tr>
                <tr valign="top">
                  <td colspan="9">
                    <bold>Endoscopy findings</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>Negative endoscopy findings</td>
                  <td>94.72 (92.82-96.14)</td>
                  <td>100%</td>
                  <td>96.93 (92.99-98.68)</td>
                  <td>99%</td>
                  <td colspan="2">99.41 (99.07-99.62)</td>
                  <td>82%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>LGIN<sup>b</sup></td>
                  <td>3.99 (2.78-5.69)</td>
                  <td>100%</td>
                  <td>2.55 (1.03-6.19)</td>
                  <td>99%</td>
                  <td colspan="2">0.34 (0.14-0.81)</td>
                  <td>84%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>Positive cases</td>
                  <td>1.03 (0.82-1.30)</td>
                  <td>98%</td>
                  <td>0.48 (0.25-0.93)</td>
                  <td>98%</td>
                  <td colspan="2">0.12 (0.07-0.21)</td>
                  <td>46%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>Early detection rates</td>
                  <td>82.09 (74.85-87.59)</td>
                  <td>93%</td>
                  <td>80.76 (69.24-88.68)</td>
                  <td>93%</td>
                  <td colspan="2">80.08 (27.21-97.74)</td>
                  <td>85%</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table3fn1">
                <p><sup>a</sup>Not applicable.</p>
              </fn>
              <fn id="table3fn2">
                <p><sup>b</sup>LGIN: low-grade intraepithelial neoplasia.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <fig id="figure2" position="float">
            <label>Figure 2</label>
            <caption>
              <p>Pooled compliance rates of endoscopy examinations in population-based esophageal cancer screening by region (high-risk areas, rural China, and urban China).</p>
            </caption>
            <graphic xlink:href="publichealth_v9i1e45360_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
        <sec>
          <title>Pooled Rates of Endoscopy Findings</title>
          <p>The prevalence of endoscopy findings varied widely by region. Specifically, the pooled detection rates of positive cases decreased from high-risk areas to rural China and urban China (<xref ref-type="table" rid="table3">Table 3</xref>, Figure S2 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The pooled detection rate of LGIN was also in the same order, being the highest in high-risk areas, followed by rural China and urban China, as shown in <xref ref-type="table" rid="table3">Table 3</xref> and Figure S3 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. Consequently, the detection rates of negative endoscopy findings increased from high-risk areas to rural China and urban China (<xref ref-type="table" rid="table3">Table 3</xref>, Figure S4 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p>
        </sec>
        <sec>
          <title>Pooled Rates of Early Detection Among Positive Cases</title>
          <p>A total of 34 of the 44 included studies reported early detection cases, covering 8445 patients diagnosed with positive cases at endoscopy screening (Figure S5 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The pooled early detection rate was approximately 81.90% (95% CI 75.58%-86.88%), which was similar to the rates in high-risk areas, rural China, and urban China (<xref ref-type="table" rid="table3">Table 3</xref>).</p>
        </sec>
        <sec>
          <title>Pooled Detection Rates of Endoscopy Findings by Subgroups</title>
          <p><xref ref-type="table" rid="table4">Table 4</xref> summarizes the pooled rates of endoscopy findings of sex-specific and age-specific subgroup analyses. Overall, males had higher detection rates of positive cases (1.65% vs 0.82%) and LGIN (5.71% vs 3.66%) and a lower detection rate of negative endoscopy findings (92.33% vs 95.38%) than females. The detection rates of positive cases and LGIN increased with age group, as the rates of positive cases were 0.52% in the 40-49 years group, 1.26% in the 50-59 years group, and 2.73% in the 60-69 years group, and the corresponding rates of LGIN were 2.62%, 4.24%, and 7.13%, respectively. The sex-specific and age-group detection rates of endoscopy screening in the three specific areas are also shown in <xref ref-type="table" rid="table4">Table 4</xref>, demonstrating the highest detection rates of positive cases and LGIN in high-risk areas, followed by rural China and urban China in each subgroup.</p>
          <table-wrap position="float" id="table4">
            <label>Table 4</label>
            <caption>
              <p>Prevalence of negative endoscopy findings, low-grade intraepithelial neoplasia (LGIN), and positive cases in different subgroups in population-based esophageal cancer screening in China.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="30"/>
              <col width="30"/>
              <col width="120"/>
              <col width="0"/>
              <col width="70"/>
              <col width="0"/>
              <col width="90"/>
              <col width="0"/>
              <col width="180"/>
              <col width="0"/>
              <col width="60"/>
              <col width="0"/>
              <col width="0"/>
              <col width="150"/>
              <col width="0"/>
              <col width="60"/>
              <col width="0"/>
              <col width="0"/>
              <col width="150"/>
              <col width="0"/>
              <col width="60"/>
              <thead>
                <tr valign="top">
                  <td colspan="4">Characteristics</td>
                  <td colspan="2">Studies, n</td>
                  <td colspan="2">Study participants, n</td>
                  <td colspan="5">Negative endoscopy findings</td>
                  <td colspan="5">LGIN</td>
                  <td colspan="3">Positive cases</td>
                </tr>
                <tr valign="top">
                  <td colspan="4">
                    <break/>
                  </td>
                  <td colspan="2">
                    <break/>
                  </td>
                  <td colspan="2">
                    <break/>
                  </td>
                  <td colspan="2">Pooled prevalence rate, % (95% CI)</td>
                  <td colspan="2">
                    <italic>I</italic>
                    <sup>2</sup>
                  </td>
                  <td colspan="3">Pooled prevalence rate, % (95% CI)</td>
                  <td colspan="2">
                    <italic>I</italic>
                    <sup>2</sup>
                  </td>
                  <td colspan="3">Pooled prevalence rate, % (95% CI)</td>
                  <td>
                    <italic>I</italic>
                    <sup>2</sup>
                  </td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td colspan="21">
                    <bold>All</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Sex</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Male</td>
                  <td colspan="2">17</td>
                  <td colspan="2">165,522</td>
                  <td colspan="2">92.33 (89.03-94.69)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">5.71 (3.71-8.69)</td>
                  <td colspan="2">99%</td>
                  <td colspan="3">1.65 (1.22-2.24)</td>
                  <td colspan="2">97%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Female</td>
                  <td colspan="2">17</td>
                  <td colspan="2">214,180</td>
                  <td colspan="2">95.38 (92.82-97.06)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">3.66 (2.22-5.98)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">0.82 (0.55-1.20)</td>
                  <td colspan="2">97%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Age group (years)</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>40-49</td>
                  <td colspan="2">12</td>
                  <td colspan="2">104,222</td>
                  <td colspan="2">96.57 (93.33-98.26)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">2.62 (1.42-4.79)</td>
                  <td colspan="2">99%</td>
                  <td colspan="3">0.52 (0.22-1.23)</td>
                  <td colspan="2">100%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>50-59</td>
                  <td colspan="2">12</td>
                  <td colspan="2">105,033</td>
                  <td colspan="2">94.04 (89.40-96.72)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">4.24 (2.17-8.11)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">1.26 (0.71-2.21)</td>
                  <td colspan="2">98%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>60-69</td>
                  <td colspan="2">12</td>
                  <td colspan="2">90,413</td>
                  <td colspan="2">89.10 (82.14-93.56)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">7.13 (4.00-12.40)</td>
                  <td colspan="2">99%</td>
                  <td colspan="3">2.73 (1.57-4.71)</td>
                  <td colspan="2">99%</td>
                </tr>
                <tr valign="top">
                  <td colspan="21">
                    <bold>High-risk areas</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Sex</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Male</td>
                  <td colspan="2">13</td>
                  <td colspan="2">124,774</td>
                  <td colspan="2">91.04 (86.81-94.00)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">6.60 (4.08-10.49)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">1.99 (1.46-2.71)</td>
                  <td colspan="2">96%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Female</td>
                  <td colspan="2">13</td>
                  <td colspan="2">157,326</td>
                  <td colspan="2">94.40 (91.13-96.51)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">4.39 (2.56-7.41)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">0.95 (0.64-1.42)</td>
                  <td colspan="2">97%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Age group (years)</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>40-49</td>
                  <td colspan="2">8</td>
                  <td colspan="2">73,745</td>
                  <td colspan="2">94.79 (88.78-97.66)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">3.80 (1.92-7.40)</td>
                  <td colspan="2">99%</td>
                  <td colspan="3">0.80 (0.26-2.48)</td>
                  <td colspan="2">100%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>50-59</td>
                  <td colspan="2">8</td>
                  <td colspan="2">68,611</td>
                  <td colspan="2">91.81 (84.34-95.89)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">5.46 (2.41-11.89)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">2.05 (1.19-3.50)</td>
                  <td colspan="2">98%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>60-69</td>
                  <td colspan="2">8</td>
                  <td colspan="2">59,762</td>
                  <td colspan="2">84.81 (75.09-91.18)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">9.17 (4.62-17.40)</td>
                  <td colspan="2">100%</td>
                  <td colspan="3">4.30 (2.50-7.30)</td>
                  <td colspan="2">99%</td>
                </tr>
                <tr valign="top">
                  <td colspan="21">
                    <bold>Rural China</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Sex</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Male</td>
                  <td colspan="2">3</td>
                  <td colspan="2">58,943</td>
                  <td colspan="2">93.63 (92.09-94.88)</td>
                  <td colspan="2">98%</td>
                  <td colspan="3">5.42 (4.58-6.42)</td>
                  <td colspan="2">96%</td>
                  <td colspan="3">0.92 (0.56-1.50)</td>
                  <td colspan="2">97%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Female</td>
                  <td colspan="2">3</td>
                  <td colspan="2">81,694</td>
                  <td colspan="2">96.05 (95.10-96.82)</td>
                  <td colspan="2">98%</td>
                  <td colspan="3">3.47 (2.96-4.06)</td>
                  <td colspan="2">95%</td>
                  <td colspan="3">0.45 (0.24-0.83)</td>
                  <td colspan="2">98%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Age group (years)</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>40-49</td>
                  <td colspan="2">3</td>
                  <td colspan="2">46,472</td>
                  <td colspan="2">97.93 (97.70-98.14)</td>
                  <td colspan="2">63%</td>
                  <td colspan="3">1.86 (1.69-2.04)</td>
                  <td colspan="2">47%</td>
                  <td colspan="3">0.21 (0.15-0.32)</td>
                  <td colspan="2">74%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>50-59</td>
                  <td colspan="2">3</td>
                  <td colspan="2">52,811</td>
                  <td colspan="2">95.22 (94.54-95.81)</td>
                  <td colspan="2">92%</td>
                  <td colspan="3">4.26 (3.93-4.61)</td>
                  <td colspan="2">74%</td>
                  <td colspan="3">0.50 (0.29-0.85)</td>
                  <td colspan="2">95%</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>60-69</td>
                  <td colspan="2">3</td>
                  <td colspan="2">41,339</td>
                  <td colspan="2">92.02 (89.52-93.96)</td>
                  <td colspan="2">99%</td>
                  <td colspan="3">6.69 (5.34-8.36)</td>
                  <td colspan="2">98%</td>
                  <td colspan="3">1.24 (0.71-2.15)</td>
                  <td colspan="2">98%</td>
                </tr>
                <tr valign="top">
                  <td colspan="21">
                    <bold>Urban China</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Sex</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Male</td>
                  <td colspan="2">1</td>
                  <td colspan="2">479</td>
                  <td colspan="2">98.75 (97.24-99.44)</td>
                  <td colspan="2">—<sup>a</sup></td>
                  <td colspan="3">0.63 (0.20-1.92)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.63 (0.20-1.92)</td>
                  <td colspan="2">—</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Female</td>
                  <td colspan="2">1</td>
                  <td colspan="2">672</td>
                  <td colspan="2">99.70 (98.82-99.93)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.15 (0.02-1.05)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.15 (0.02-1.05)</td>
                  <td colspan="2">—</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="20">
                    <bold>Age group (years)</bold>
                    <break/>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>40-49</td>
                  <td colspan="2">1</td>
                  <td colspan="2">347</td>
                  <td colspan="2">99.71 (97.98-99.96)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.29 (0.04-2.02)</td>
                  <td colspan="2">—</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>50-59</td>
                  <td colspan="2">1</td>
                  <td colspan="2">394</td>
                  <td colspan="2">99.49 (97.99-99.87)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.25 (0.04-1.78)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.25 (0.04-1.78)</td>
                  <td colspan="2">—</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>60-69</td>
                  <td colspan="2">1</td>
                  <td colspan="2">409</td>
                  <td colspan="2">98.78 (97.10-99.49)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.73 (0.24-2.25)</td>
                  <td colspan="2">—</td>
                  <td colspan="3">0.49 (0.12-1.93)</td>
                  <td colspan="2">—</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table4fn1">
                <p><sup>a</sup>Not applicable.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec>
        <title>Validation of the Meta-analysis Results</title>
        <sec>
          <title>Sensitivity Analysis</title>
          <p>To assess whether publication year, sample size, and the number of study centers had a dominant effect on the meta-analysis, we additionally analyzed their effect on the detection of positive cases (see Table S8 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The findings in this analysis showed that studies with publication years before 2009 and sample sizes less than 5000 had a significantly higher detection rate of positive cases in high-risk areas. In addition, multicenter studies presented lower heterogeneity in urban China.</p>
        </sec>
        <sec>
          <title>Heterogeneity</title>
          <p>High heterogeneity (<italic>I</italic><sup>2</sup>) among studies was observed for all estimated indices, and these findings remained unchanged in the subgroups (<xref ref-type="table" rid="table4">Table 4</xref>; Table S8 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p>
        </sec>
        <sec>
          <title>Publication Bias</title>
          <p>Publication bias assessment was performed based on the prevalence of positive cases. Visual inspection of the funnel plots (Figure S6 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>) and the two-tailed Egger test (<italic>P</italic>=.10) demonstrated no evidence of publication bias.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Based on this systematic review and meta-analysis of 66 studies covering over 2 million asymptomatic Chinese populations participating in population-based EC screening, we summarized a series of crucial indices to profile the status of EC screening in China. Under the current EC screening practice, the positivity rates of the high-risk population and compliance rates with endoscopic examinations, yields from EC screening, and burden of surveillance endoscopy varied greatly in populations from high-risk areas and other nonhigh-risk areas (rural China and urban China). These findings not only show the actual situation of current population-based ESCC screening in China but also reflect corresponding challenges and potential future directions in scientific research and policy-making to promote EC prevention in China.</p>
      <p>Identifying high-risk individuals for EC to undergo further endoscopic examinations has been one of the most critical factors for the success of ESCC screening programs. Selection of assessment items and the threshold to define endoscopic examination eligibility are essential but troublesome tasks in this field [<xref ref-type="bibr" rid="ref75">75</xref>]. In nonhigh-risk areas of EC where the RSES strategy was adopted, the pooled positivity rate of high-risk individuals for endoscopic examinations in the rural Chinese population was approximately twice that in the urban Chinese population (44.12% vs 23.11%), fully reflecting the rural-urban inequality of exposure to EC risk factors. However, the existing individualized assessment tool in EC screening programs or trials in China differed in the assessment items, thresholds, and definition of outcomes (EC or UGI cancer), as summarized in Table S5 of <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. Few assessment tools have estimated the accuracy and effectiveness of EC screening. In addition, all the existing prediction models for EC presented a high risk of bias and none of these models was estimated in diverse populations, which limited the implementation values in large-scale population-based EC screening programs or even the national EC screening program [<xref ref-type="bibr" rid="ref75">75</xref>]. Before implementing the national EC screening program, development of a specific high-risk assessment strategy to define eligible individuals for endoscopy screening should be prioritized. Through comprehensive estimation and validation in diverse populations with national representatives, updated individualized EC risk assessment strategies could be developed in the future, serving EC screening in China and other countries.</p>
      <p>Optimal compliance for endoscopic examinations in eligible asymptomatic individuals is essential to confer benefits from EC screening, as shown in cohort and modeling studies [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref76">76</xref>,<xref ref-type="bibr" rid="ref77">77</xref>]. However, the overall compliance of endoscopy screening in existing population-based EC screening programs or trials in China was found to be suboptimal, especially in the urban Chinese population, with a compliance rate of less than 24%. Therefore, improving the endoscopic compliance rate by adopting comprehensive strategies is an urgent need for EC screening programs. Several available measures could be taken in the future. First, from the aspect of providers of EC screening programs, there is an urgent need to conduct multifaceted actions to promote and improve the core knowledge of cancer prevention and control in Chinese residents and help them correctly understand cancer and prevent it [<xref ref-type="bibr" rid="ref78">78</xref>]. A previous EC screening study among 28,543 high-risk individuals for EC showed a positive association between cancer prevention awareness and compliance with endoscopic examinations [<xref ref-type="bibr" rid="ref79">79</xref>]. This highlights the importance and feasibility of raising eligible individuals’ awareness of cancer prevention in improving compliance rates in population-based EC screening programs. Second, for community servers in population-based EC screening, more attention and interventions should be paid to several vulnerable populations in health literacy to improve their compliance rate with endoscopic examinations. These populations included males, cigarette smokers, and those with low socioeconomic status, who had a higher risk of developing EC but lower compliance rates of endoscopic examinations, as observed in previous population-based EC screening studies [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref79">79</xref>]. In addition, optimization of the screening procedure, such as shortening the waiting time for endoscopic examinations, may be considered another effective measure to improve compliance, as indicated in population-based cancer screening programs [<xref ref-type="bibr" rid="ref80">80</xref>].</p>
      <p>The endoscopy findings exhibited apparent disparities among studies, mainly due to the heterogeneous study populations in the disease burden of EC, different EC screening strategies, and varying compliance rate for endoscopic examination, which were mentioned above. Specifically, a higher screening benefit was obtained in high-risk areas, followed by rural China and urban China, with pooled prevalence rates of positive cases being 1.03%, 0.48%, and 0.12%, respectively. In addition, early detection among positive cases was more than 80% in all studies, which emphasizes the importance of EC screening in improving survival and quality of life. In terms of the surveillance endoscopy burden, a higher burden of LGIN was also observed in high-risk areas, followed by rural China and urban China, with pooled rates of 3.99%, 2.55%, and 0.34%, respectively. A much larger fraction of the baseline endoscopy screening population comprised those diagnosed with negative endoscopy findings, with prevalence higher than 90% in all previous reports. These results will help policy makers grasp the profile of population-based EC screening under the framework of current strategies in different regions and provide essential benchmarks for health economic evaluation models or other studies. Moreover, there is a considerable need for managing the vast population identified with negative endoscopy findings and LGIN [<xref ref-type="bibr" rid="ref7">7</xref>]. The current Chinese guidelines for EC screening recommend surveillance intervals of 1-3 years for patients with LGIN and 5 years for individuals with negative endoscopy findings [<xref ref-type="bibr" rid="ref81">81</xref>]. However, these recommendations were developed based on limited studies with different findings on observational or modeling studies from ESCC high-risk areas in China [<xref ref-type="bibr" rid="ref76">76</xref>,<xref ref-type="bibr" rid="ref77">77</xref>,<xref ref-type="bibr" rid="ref82">82</xref>-<xref ref-type="bibr" rid="ref84">84</xref>]. More high-quality studies are urgently needed to estimate and update these recommendations.</p>
      <p>To the best of our knowledge, this is the first study to provide a comprehensive profile of the available research on population-based EC screening in the Chinese population, which offers comprehensive and objective evidence for policy makers. Findings in this study have important implications for better conducting EC screening in the future. First, development of high-risk assessment criteria for selecting eligible individuals for endoscopic examinations for diverse populations should be prioritized. Second, multidimensional attempts are urgently needed to improve compliance with endoscopic examinations, including improving residents’ cancer literacy and optimizing and simplifying screening procedures. Third, more robust and high-quality cohort and modeling studies are urgently needed to estimate or optimize the current surveillance strategy, which will essentially compensate for the limited evidence in the Chinese population.</p>
      <p>Our study also has several limitations. First, significant heterogeneity was observed in all pooled indices. Understandably, high heterogeneity is unavoidable given that study-related factors (screening strategy and population-based disease burden of EC) and individual-related factors (individualized risk of EC, compliance with endoscopic examinations, age, and sex) could not be controlled for in all studies. In this meta-analysis, we performed several subgroup analyses with consideration of these significant factors contributing to heterogeneity. Second, a detailed comparison of exposure factors related to developing EC and determinations of compliance with endoscopic examinations in rural-urban Chinese populations were not performed due to data limitations in the existing studies. Third, subgroup analysis of endoscopy findings was limited to sex-specific and age-specific findings. Other potential essential factors, including individual-related (such as smoking status, family history of cancer, and disease history of the digestive system) and procedure-related (such as endoscopist and pathologist performance and quality of endoscopic examinations) factors, were limited due to the lack of data. In addition, available studies and data under different EC screening strategies need to be more balanced. Data on endoscopy findings in high-risk areas were sufficient; however, data to profile EC screening in nonhigh-risk areas were limited. There were only four studies in rural China that reported compliance with endoscopy, and only 18,421 individuals with endoscopy screening were reported in the urban Chinese population. These limited data could not comprehensively profile actual population-based EC screening in this population, and an updated meta-analysis will be performed when more evidence is available.</p>
      <p>In summary, in this meta-analysis, the current profile of population-based EC screening in China and potential challenges were summarized with a series of indices in screening procedures (positivity rates of high-risk individuals, compliance rates, and endoscopic findings) by different regions. Under the current screening framework, a higher screening benefit was observed in high-risk areas than in other regions. To promote EC screening and reduce the current inequality of screening in China, more focus should be given to optimizing strategies of high-risk individual assessment and surveillance management to improve compliance with endoscopic examination.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Supporting methods and results.</p>
        <media xlink:href="publichealth_v9i1e45360_app1.docx" xlink:title="DOCX File , 12883 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">EC</term>
          <def>
            <p>esophageal cancer</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">ESCC</term>
          <def>
            <p>esophageal squamous cell carcinoma</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">LGIN</term>
          <def>
            <p>low-grade intraepithelial neoplasia</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">MeSH</term>
          <def>
            <p>Medical Subject Headings</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">PRISMA</term>
          <def>
            <p>Preferred Reporting Items for Systematic Review and Meta-Analyses</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">PROSPERO</term>
          <def>
            <p>International Prospective Register of Systematic Reviews</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">RSES</term>
          <def>
            <p>risk-stratified endoscopic screening</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">UGI</term>
          <def>
            <p>upper gastrointestinal</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>We are sincerely grateful for funding from the Fundamental Research Funds for the Central Universities (grant number 3332022136); National Natural Science Foundation of China (grant number 82273721); Cooperation Project in Beijing, Tianjin, and Hebei of China (J200017); and Sanming Project of Medicine in Shenzhen (grant number SZSM201911015). We thank all of the individuals who contributed to this study for their important and greatly appreciated contributions to the preparation of this report.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data sets generated and/or analyzed during this study are available from the corresponding author on reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>HL, KL, and WC contributed to the study concept and design. HL, YT, and XY contributed to the screening and data abstraction and quality assessment of the included studies. HL and XY collaborated in drafting the manuscript and revising it critically for important intellectual content. All authors contributed to the data interpretation and approved the final manuscript.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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