ArticleDiabetes epidemiology and management
Addressing common sources of bias in studies of new-onset type 2 diabetes following COVID that use electronic health record data.
Article in Diabetes epidemiology and management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Association of SARS-CoV-2 infection with incident diabetes among U.S. Veterans in a prospective longitudinal cohort.PloS one · 2026Article
- Racial disparities in diabetes care and outcomes for people with visual impairment: a descriptive analysis of the TriNetX research network.BMC public health · 2025Article
- The Risk of Type 2 Diabetes among Older Asian, Native Hawaiian, and Pacific Islander Colorectal Cancer Survivors: A Population-Based Study Using the SEER-Medicare Database.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Observational studies based on cohorts built from electronic health records (EHR) form the backbone of our current understanding of the risk of new-onset diabetes following COVID. EHR-based research is a powerful tool for medical research but is subject to multiple sources of bias. In this viewpoint, we define key sources of bias that threaten the validity of EHR-based research on this topic (namely misclassification, selection, surveillance, immortal time, and confounding biases), describe their implications, and suggest best practices to avoid them in the context of COVID-diabetes research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.