Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43725, first published .
Electronic Health Record–Based Absolute Risk Prediction Model for Esophageal Cancer in the Chinese Population: Model Development and External Validation

Electronic Health Record–Based Absolute Risk Prediction Model for Esophageal Cancer in the Chinese Population: Model Development and External Validation

Electronic Health Record–Based Absolute Risk Prediction Model for Esophageal Cancer in the Chinese Population: Model Development and External Validation

Yuting Han   1 * , PhD ;   Xia Zhu   2, 3 * , PhD ;   Yizhen Hu   1 , PhD ;   Canqing Yu   1, 4 , PhD ;   Yu Guo   5 , MSc ;   Dong Hang   2, 3 , PhD ;   Yuanjie Pang   1 , DPhil ;   Pei Pei   5 , MSc ;   Hongxia Ma   2, 3 , PhD ;   Dianjianyi Sun   1, 4 , PhD ;   Ling Yang   6, 7 , PhD ;   Yiping Chen   6, 7 , DPhil ;   Huaidong Du   6, 7 , PhD ;   Min Yu   8 , MSc ;   Junshi Chen   9 , MD ;   Zhengming Chen   7 , DPhil ;   Dezheng Huo   10 , PhD ;   Guangfu Jin   2, 3 , PhD ;   Jun Lv   1, 4 , PhD ;   Zhibin Hu   2, 3 , PhD ;   Hongbing Shen   2, 3 , PhD ;   Liming Li   1, 4 , MPH

1 Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China

2 Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China

3 Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China

4 Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China

5 Chinese Academy of Medical Sciences, Beijing, China

6 Medical Research Council Population Health Research Unit, University of Oxford, Oxford, United Kingdom

7 Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom

8 Zhejiang Center for Disease Control and Prevention, Hangzhou, China

9 China National Center for Food Safety Risk Assessment, Beijing, China

10 Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States

*these authors contributed equally

Corresponding Author:

  • Jun Lv, PhD
  • Department of Epidemiology and Biostatistics
  • School of Public Health
  • Peking University
  • No 38 Xueyuan Rd, Haidian District
  • Beijing, 100191
  • China
  • Phone: 86 10-82801528
  • Fax: 86 10-82801528
  • Email: lvjun@bjmu.edu.cn