ArticlePloS one2026
Association of SARS-CoV-2 infection with incident diabetes among U.S. Veterans in a prospective longitudinal cohort.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05764083 (CSP #2028 - Epidemiology, Immunology and Clinical Characteristics of COVID-19), which is not on this map. Not yet cited in PubMed.
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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
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CSP #2028 - Epidemiology, Immunology and Clinical Characteristics of COVID-19 (EPIC3) Within the Veterans Health Administration
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Authors and funding
25 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess care-seeking patterns and incident diabetes risk following SARS-CoV-2 infection in a prospective longitudinal cohort. RESEARCH DESIGN AND
methodsWe used data from the Veterans Health Administration (VHA)-based, prospective longitudinal study Epidemiology, Immunology, and Clinical Characteristics of COVID-19 (EPIC3) and electronic health records from participants with and without a history of SARS-CoV-2 infection who were free from diabetes at baseline and enrolled between June 2020 and September 2022 (n = 1,212); participants were followed prospectively for a median of approximately 4 years. We fit Cox proportional hazard models to examine associations of prior SARS-CoV-2 infection with incident diabetes. Models were adjusted for age, sex, race, smoking status, BMI, education, and comorbidities, as well as number of laboratory test days in the year prior.
resultsMen comprised 79.4% of the cohort. Median age was 50.1 (SARS-CoV-2-positive) and 57.2 (SARS-CoV-2-negative) years. After accounting for time-varying SARS-CoV-2 infection status, compared to participants with a negative test, participants with a positive test had fewer days/year with clinic visits (18.2 vs. 25.4, p < 0.001), laboratory tests of any kind (3.1 vs. 4.3, p < 0.001), and glucose tests (1.8 vs. 2.8, p < 0.001) post-enrollment; however, the number of days/year on which they had HbA1c tests was not significantly different (0.7 vs. 0.7, p = 0.094); diabetes incidence was 16.1 and 21.2 per 1,000 person-years in SARS-CoV-2 positive and negative groups, respectively. SARS-CoV-2 was not associated with adjusted diabetes-free survival overall, in inpatients or in outpatients (adjusted HRs: 0.82 [95% CI, 0.51-1.35], 1.03 [0.27-3.96], and 0.79 [0.44-1.39], respectively).
conclusionAlthough SARS-CoV-2-positive participants used healthcare less often than those without, HbA1c testing rates were similar. We did not replicate prior reports of higher diabetes risk after SARS-CoV-2, although small sample size may have reduced power to detect modest associations. NCT: NCT05764083.
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