Evidence map›Paper›PMID 41060911›Full record

ArticlePloS one2025

Time-varying associations between diabetes and mortality following COVID-19: Evidence from a U.S. Veteran population.

Andrea R Titus, Rania Kanchi, Samrachana Adhikari, Lorna E Thorpe, David C Lee, Aaron Baum, Mark D Schwartz

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Andrea R TitusDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0001-7586-643X
Rania KanchiDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Samrachana AdhikariDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Lorna E ThorpeDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
David C LeeDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Aaron BaumDepartment of Global Health, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Mark D SchwartzDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.

Funding

Identifying Risk Factors for Poor Glycemic Control among Emergency Department Patients and Improving Linkage to Outpatient CareR01DK134668 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI David C Lee · 2023 to 2026
$2.8M
NIDDK NIH HHS R01 DK134668
6 · The paper itself

Abstract

Prior studies suggest that diabetes is associated with severe outcomes following COVID-19. However, most research has focused on early phases of the COVID-19 pandemic, and less is known about changing diabetes-associated risks over time. We constructed a retrospective cohort of U.S. Veterans with documented COVID-19 between March 2020 and August 2023 (N = 426,170). We used Poisson regression models to estimate relative risks of 60-day mortality following COVID-19 among Veterans with and without diabetes, incorporating demographic and clinical covariates, as well as weights to address unequal probabilities of selection into the sample. We then incorporated interaction terms representing six-month time windows and plotted predicted mortality risks over time. To contextualize risk estimates, we repeated the analysis among a cohort of Veterans without documented COVID-19. Diabetes was associated with overall higher risk of 60-day mortality following COVID-19 (RR = 1.21, 95% CI = 1.17-1.26). Mortality risks attenuated over time and converged with risks observed among Veterans without COVID-19 by March-August 2022. Results suggest that post-COVID-19 mortality risks associated with diabetes may have attenuated over time. Mechanisms underlying the attenuation of mortality risks were beyond the scope of the paper, however, future studies can potentially shed light on the contributions of population immunity (driven by previous infection or vaccination status), changing treatment patterns, and other factors to time-varying mortality risks following COVID-19 among individuals with diabetes.

Indexed as

COVID-19Diabetes MellitusVeteransAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2Time FactorsUnited States

Identifiers

PMID41060911
PMCPMC12507279

What OpenQuestion holds

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Registered trials

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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.