Evidence map›Paper›PMID 40780839›Full record

ArticleBMJ open diabetes research & care2025

Association between dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists and COVID-19 infection and adverse outcomes: a cohort study.

Wade Thompson, Bing Yu, Joan Porter, Jiming Fang, Laura E Ferreira-Legere, Peter C Austin, Cynthia A Jackevicius, Heather Ross, Douglas S Lee, Alanna Weisman and 7 more

Abstract read
In one paragraph

Article in BMJ open diabetes research & care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Wade ThompsonAnesthesiology, Pharmacology and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0002-8268-4092
Bing YuInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Joan PorterInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Jiming FangInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Laura E Ferreira-LegereInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Peter C AustinInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Cynthia A JackeviciusInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Heather RossPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Douglas S LeeInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Alanna WeismanInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Michael E FarkouhPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Andrea S GershonInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Clare L AtzemaInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Jeffrey C KwongInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Andrew HaPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Vladimír DžavíkPeter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Jacob A UdellInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada jay.udell@utoronto.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPeople with type 2 diabetes (T2DM) have an elevated risk of adverse outcomes from COVID-19. Dipeptidyl peptidase-4 inhibitors (DPP4is) and glucagon-like peptide-1 receptor agonists (GLP1RAs) might have favorable effects on COVID-19 outcomes. RESEARCH DESIGN AND

methodsWe conducted a population-based cohort study in Ontario, Canada. We compared the risk of both COVID-19 infection as well as adverse outcomes between users of DPP4i or GLP1RA and users of sodium-glucose cotransporter-2 inhibitors (SGLT2is) or sulfonylureas (SUs). The study population was persons ≥66 years with T2DM taking metformin who had ≥1 COVID-19 PCR test between January 2020 and July 2021. We compared (1) COVID-19 infection and (2) adverse outcomes at 30 days among COVID-19 positive patients (major cardiovascular (CV) events, hospitalizations, intensive care unit admission, all-cause mortality, venous thromboembolism, mechanical ventilation). We reported weighted risk differences (RDs) and relative risks (RRs).

resultsThere were 26,485 DPP4i/GLP1RA users (mean age 76, 47% female, 91% DPP4i users) and 14,487 SGLT2i/SU users (mean age 75, 39% female, 65% SGLT2i users). The weighted rate of COVID-19 infection in DPP4i/GLP1RA users was 10.3% compared with 10.4% among SGLT2i/SU users (weighted RD -0.06, 95% CI -0.79 to 0.66; RR 0.99, 95% CI 0.93 to 1.07). Among COVID-19 positive patients, the weighted RD for all-cause hospitalization for DPP4i/GLP1RA users versus SGLT2i/SU users was -6.72% (95% CI -3.02 to -10.4) and the adjusted weighted RR was 0.79 (95% CI 0.70 to 0.89). For major CV events, the weighted RD was -1.91% (95% CI -4.00 to 0.18) and RR 0.73 (95% CI 0.54 to 1.00).

conclusionsDPP4i/GLP1RA use was not associated with reduced risk of COVID-19 infection compared with SGLT2i/SU use. DPP4i/GLP1RA use was associated with reduced risk of 30-day hospitalization among COVID-19 positive older adults and a possible trend towards a lower associated risk of CV events.

Indexed as

COVID-19Diabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsAgedAged, 80 and overCohort StudiesFemaleHospitalizationHumansMaleOntarioSARS-CoV-2Sodium-Glucose Transporter 2 InhibitorsSulfonylurea CompoundsDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsSodium-Glucose Transporter 2 InhibitorsSulfonylurea CompoundsCOVID-19Diabetes Mellitus, Type 2Pharmacoepidemiology

Identifiers

PMID40780839
PMCPMC12336545

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LicenceCC BY-NC
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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.