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This paper is in the following e-collection/theme issue:

Statistical Methods for Surveillance and Population Health (248) Clinical Informatics (2130) Clinical Information and Decision Making (3525) Public Health Informatics (521) Diabetes-specific EHR Improvements (40) Diabetes Surveillance and Epidemiology (56)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46708, first published .
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Optimal Look-Back Period to Identify True Incident Cases of Diabetes in Medical Insurance Data in the Chinese Population: Retrospective Analysis Study

Optimal Look-Back Period to Identify True Incident Cases of Diabetes in Medical Insurance Data in the Chinese Population: Retrospective Analysis Study

Authors of this article:

Wenyi Yang1, 2 Author Orcid Image ;   Baohua Wang3 Author Orcid Image ;   Shaobo Ma4 Author Orcid Image ;   Jingxin Wang1, 2 Author Orcid Image ;   Limei Ai1, 2 Author Orcid Image ;   Zhengyu Li5 Author Orcid Image ;   Xia Wan1, 2 Author Orcid Image
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Journals

  1. Yan X, Bacong A, Huang Q, Husby H, Dudum R, Jose P, Palaniappan L, Rodriguez F. Performance of the American Heart Association’s PREVENT Equations Among Disaggregated Racial and Ethnic Subgroups. JAMA Cardiology 2025;10(9):876 View
  2. Chisholm M, Navuluri S, Ogundolie M, Boykin M, Chopra S, Sodhi S, Kaplan S, Gaviser A, Poteat T, Robinson W, Bhavsar N. Length of look-back periods in studies using administrative data: a scoping review. Epidemiologic Reviews 2026;48(1) View