Evidence mapPaperPMID 36933975Full record

ArticleClinical therapeutics2023

Dipeptidyl Peptidase-4 Inhibitors, Glucagon-like Peptide-1 Receptor Agonists, and Sodium-Glucose Cotransporter-2 Inhibitors and COVID-19 Outcomes.

Andreana Foresta, Luisa Ojeda-Fernandez, Giulia Macaluso, Maria Carla Roncaglioni, Mauro Tettamanti, Ida Fortino, Olivia Leoni, Stefano Genovese, Marta Baviera

Open access · bronzeAbstract read
In one paragraph

Article in Clinical therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  4. Review
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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

9 authors at 3 institutions in 1 country.

Andreana ForestaLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy. Electronic address: andreana.foresta@marionegri.it.
Luisa Ojeda-FernandezLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Giulia MacalusoLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Maria Carla RoncaglioniLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Mauro TettamantiLaboratory of Geriatric Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Ida FortinoUnità Organizzativa Osservatorio Epidemiologico Regionale, Lombardy Region, Milan, Italy.
Olivia LeoniUnità Organizzativa Osservatorio Epidemiologico Regionale, Lombardy Region, Milan, Italy.
Stefano GenoveseCentro Cardiologico Monzino IRCCS, Milan, Italy.
Marta BavieraLaboratory of Cardiovascular Prevention, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Mario Negri Institute for Pharmacological Research · ITRegione LombardiaCentro Cardiologico Monzino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIt has been reported that dipeptidyl peptidase-4 inhibitors (DPP-4i), glucagon-like peptide-1 receptor agonists (GLP-1 RA), and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) have a role in modulation of inflammation associated with coronavirus disease 2019 (COVID-19). This study assessed the effect of these drug classes on COVID-19-related outcomes.

methodsUsing a COVID-19 linkable administrative database, we selected patients aged ≥40 years with at least 2 prescriptions of DPP-4i, GLP-1 RA, or SGLT-2i or any other antihyperglycemic drug and a diagnosis of COVID-19 from February 15, 2020, to March 15, 2021. Adjusted odds ratios (ORs) with 95% CIs were used to calculate the association between treatments and all-cause and in-hospital mortality and COVID-19-related hospitalization. A sensitivity analysis was performed by using inverse probability treatment weighting.

findingsOverall, 32,853 subjects were included in the analysis. Multivariable models showed a reduction of the risk for COVID-19 outcomes for users of DPP-4i, GLP-1 RA, and SGLT-2i compared with nonusers, although statistical significance was reached only in DPP-4i users for total mortality (OR, 0.89; 95% CI, 0.82-0.97). The sensitivity analysis confirmed the main results reaching a significant reduction for hospital admission in GLP-1 RA users and in-hospital mortality in SGLT-2i users compared with nonusers. IMPLICATIONS: This study found a beneficial effect in the risk reduction of COVID-19 total mortality in DPP-4i users compared with nonusers. A positive trend was also observed in users of GLP-1 RA and SGLT-2i compared with nonusers. Randomized clinical trials are needed to confirm the effect of these drug classes as potential therapy for the treatment of COVID-19.

Indexed as

COVID-19Dipeptidyl-Peptidase IV InhibitorsSodium-Glucose Transporter 2 InhibitorsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorHumansHypoglycemic AgentsDipeptidyl-Peptidase IV InhibitorsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorHypoglycemic AgentsSodium-Glucose Transporter 2 InhibitorsCOVID-19dipeptidyl peptidase-4 inhibitorsglucagon-like peptide-1 receptor agonistsoutcomessodium-glucose cotransporter-2 inhibitors

Identifiers

PMID36933975
PMCPMC9974363
OpenAlexW4322744582

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.