Evidence mapPaperPMID 34135013Full record

ArticleDiabetes care2021

Association Between Glucagon-Like Peptide 1 Receptor Agonist and Sodium-Glucose Cotransporter 2 Inhibitor Use and COVID-19 Outcomes.

Anna R Kahkoska, Trine Julie Abrahamsen, G Caleb Alexander, Tellen D Bennett, Christopher G Chute, Melissa A Haendel, Klara R Klein, Hemalkumar Mehta, Joshua D Miller, Richard A Moffitt and 4 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 7 pooled it
8.1field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 7 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  18. Association of Premorbid GLP-1RA and SGLT-2i Prescription Alone and in Combination with COVID-19 Severity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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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

14 authors at 6 institutions in 2 countries.

Anna R KahkoskaDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Trine Julie AbrahamsenNovo Nordisk A/S, Copenhagen, Denmark.
G Caleb AlexanderCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Tellen D BennettSection of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO.
Christopher G ChuteSchools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD.
Melissa A HaendelCenter for Health AI, University of Colorado School of Medicine, Aurora, CO.
Klara R KleinDivision of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC.
Hemalkumar MehtaCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Joshua D MillerDivision of Endocrinology and Metabolism, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY.
Richard A MoffittDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.
Til StürmerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Kajsa KvistNovo Nordisk A/S, Copenhagen, Denmark.
John B BuseDivision of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC jbuse@med.unc.edu.ORCID 0000-0002-9723-3876
N3C Consortium
University of North Carolina at Chapel Hill · USJohns Hopkins University · USNovo Nordisk (Denmark) · DKUniversity of Colorado Denver · USStony Brook School · USStony Brook University · US

Funding

Institute of Translational Health SciencesUL1TR002319 · UNIVERSITY OF WASHINGTON · 2025 to 2025
$10.2M
Washington University Institute of Clinical and Translational SciencesUL1TR002345 · WASHINGTON UNIVERSITY · 2025 to 2025
$9.3M
Southern California Clinical and Translational Science InstituteUL1TR001855 · UNIVERSITY OF SOUTHERN CALIFORNIA · 2025 to 2025
$9.1M
The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI Donald E Brown, KAREN C. JOHNSTON · 2022 to 2023
$9.1M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · UNIVERSITY OF WISCONSIN-MADISON · 2025 to 2025
$8.9M
The Institute for Translational MedicineUL1TR002389 · UNIVERSITY OF CHICAGO · 2025 to 2025
$7.6M
Mayo Clinic Center for Clinical and Translational Science (CCaTS)UL1TR002377 · MAYO CLINIC ROCHESTER · 2025 to 2025
$7.2M
Tracking and Evaluation CoreU54GM115458 · UNIVERSITY OF NEBRASKA MEDICAL CENTER · 2025 to 2025
$4.0M
West Virginia Clinical and Translational Science Institute: A Statewide Organization Building Research Excellence and Engaging Communities to Improve HealthU54GM104942 · WEST VIRGINIA UNIVERSITY · 2025 to 2025
$4.0M
The Maine Biomedical Research Network (INBRE)P20GM103423 · MOUNT DESERT ISLAND BIOLOGICAL LAB · 2025 to 2025
$4.0M
Penn State Clinical and Translational Science InstituteUL1TR002014 · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · 2025 to 2025
$3.8M
Kentucky Center for Clinical and Translational ScienceUL1TR001998 · UNIVERSITY OF KENTUCKY · 2025 to 2025
$3.3M
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001439NCATS NIH HHS UL1 TR001450NCATS NIH HHS UL1 TR001453NCATS NIH HHS UL1 TR001855NCATS NIH HHS UL1 TR001876NCATS NIH HHS UL1 TR001998NCATS NIH HHS UL1 TR002003NCATS NIH HHS UL1 TR002014NCATS NIH HHS UL1 TR002240NCATS NIH HHS UL1 TR002319NCATS NIH HHS UL1 TR002345NCATS NIH HHS UL1 TR002373NCATS NIH HHS UL1 TR002377NCATS NIH HHS UL1 TR002389NCATS NIH HHS UL1 TR002489NCATS NIH HHS UL1 TR002494NCATS NIH HHS UL1 TR002535NCATS NIH HHS UL1 TR002537NCATS NIH HHS UL1 TR002538NCATS NIH HHS UL1 TR002544NCATS NIH HHS UL1 TR002553NCATS NIH HHS UL1 TR002649NCATS NIH HHS UL1 TR002733NCATS NIH HHS UL1 TR002736NCATS NIH HHS UL1 TR003015NCATS NIH HHS UL1 TR003096NCATS NIH HHS UL1 TR003098NCATS NIH HHS UL1 TR003107NHLBI NIH HHS R01 HL118255NIA NIH HHS R01 AG056479NIDDK NIH HHS F30 DK113728NIDDK NIH HHS P30 DK124723NIGMS NIH HHS P20 GM103423NIGMS NIH HHS U54 GM104942NIGMS NIH HHS U54 GM115458NIMHD NIH HHS R01 MD011680
6 · The paper itself

Abstract

objectiveTo determine the respective associations of premorbid glucagon-like peptide-1 receptor agonist (GLP1-RA) and sodium-glucose cotransporter 2 inhibitor (SGLT2i) use, compared with premorbid dipeptidyl peptidase 4 inhibitor (DPP4i) use, with severity of outcomes in the setting of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. RESEARCH DESIGN AND

methodsWe analyzed observational data from SARS-CoV-2-positive adults in the National COVID Cohort Collaborative (N3C), a multicenter, longitudinal U.S. cohort (January 2018-February 2021), with a prescription for GLP1-RA, SGLT2i, or DPP4i within 24 months of positive SARS-CoV-2 PCR test. The primary outcome was 60-day mortality, measured from positive SARS-CoV-2 test date. Secondary outcomes were total mortality during the observation period and emergency room visits, hospitalization, and mechanical ventilation within 14 days. Associations were quantified with odds ratios (ORs) estimated with targeted maximum likelihood estimation using a super learner approach, accounting for baseline characteristics.

resultsThe study included 12,446 individuals (53.4% female, 62.5% White, mean ± SD age 58.6 ± 13.1 years). The 60-day mortality was 3.11% (387 of 12,446), with 2.06% (138 of 6,692) for GLP1-RA use, 2.32% (85 of 3,665) for SGLT2i use, and 5.67% (199 of 3,511) for DPP4i use. Both GLP1-RA and SGLT2i use were associated with lower 60-day mortality compared with DPP4i use (OR 0.54 [95% CI 0.37-0.80] and 0.66 [0.50-0.86], respectively). Use of both medications was also associated with decreased total mortality, emergency room visits, and hospitalizations.

conclusionsAmong SARS-CoV-2-positive adults, premorbid GLP1-RA and SGLT2i use, compared with DPP4i use, was associated with lower odds of mortality and other adverse outcomes, although DPP4i users were older and generally sicker.

Indexed as

COVID-19Diabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsSodium-Glucose Transporter 2 InhibitorsAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited StatesGlucagon-Like Peptide-1 Receptor AgonistsSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID34135013
PMCPMC8323175
OpenAlexW3170966862

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.