Evidence map›Paper›PMID 42521622›Full record

ArticleDiabetes, obesity & metabolism2026

GLP-1 Receptor Agonists and Risk of Skin Cancer in Adults With Type 2 Diabetes: A Target Trial Emulation.

Huilin Tang, Bingyu Zhang, Ying Lu, Ting Zhou, Yiwen Lu, César A Briceño, Jiali Han, Yong Chen

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Huilin TangThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5814-6657
Bingyu ZhangThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7176-249X
Ying LuThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ting ZhouThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3392-2979
Yiwen LuThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
César A BriceñoDepartment of Ophthalmology, Scheie Eye Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Jiali HanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA.ORCID 0000-0002-8309-7092
Yong ChenThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0835-0788

Funding

TRiPOD: Toward Reusable Phenotypes in Observational Data for AD/ADRD - managing definitions and correcting biasR01AG073435 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CHEN, YONG, XU, HUA · 2021 to 2025
$3.9M
Novel evidence-accumulation-driven methods for characterizing kidney stone progressionR01DK128237 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI LIU, YU-LUN · 2022 to 2025
$2.7M
AI-ADRD: Accelerating interventions of AD/ADRD via Machine learning methodsRF1AG077820 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BIAN, JIANG, CHEN, YONG · 2023 to 2023
$2.3M
NIA NIH HHS R01 AG073435NIA NIH HHS RF1 AG077820NIDDK NIH HHS R01 DK128237NIH HHS R01AG073435NIH HHS R01DK128237NIH HHS RF1AG077820
6 · The paper itself

Abstract

aimsExisting evidence regarding the association between glucagon-like peptide-1 receptor agonists (GLP-1RAs) and risk of melanoma and non-melanoma skin cancer (NMSC) is inconclusive. This study aimed to assess the association between GLP-1RA initiation and risks of melanoma and NMSC versus sodium-glucose cotransporter 2 inhibitors (SGLT2is) and dipeptidyl peptidase 4 inhibitors (DPP4is) in adults with type 2 diabetes (T2D). MATERIALS AND

methodsTarget trial emulation using TriNetX electronic health records (2014-2025). Adults with T2D initiating GLP-1RAs, SGLT2is or DPP4is were included. Outcomes were incident melanoma and NMSC over 3 years. Propensity score matching and Cox models estimated hazard ratios (HRs). Sensitivity analyses included negative control outcome (NCO) calibration, a lag-period analysis and restriction to patients with obesity.

resultsAfter matching, the GLP-1RA versus SGLT2i cohort included 235 797 pairs; the GLP-1RA versus DPP4i cohort included 153 873 pairs. Mean follow-up ranged from 1.8 to 2.2 years. GLP-1RA use was not associated with melanoma compared with either SGLT2i (HR, 1.04; 95% CI, 0.93-1.17) or DPP4i (HR, 1.09; 95% CI, 0.95-1.25). A borderline increase in NMSC risk was observed in the comparison with SGLT2is (HR, 1.06; 95% CI, 1.00-1.11); no such association was identified in the comparison with DPP4is (HR, 1.03; 95% CI, 0.97-1.09). Findings were generally consistent across sensitivity analyses; however, the association with NMSC was attenuated after NCO calibration.

conclusionsGLP-1RA therapy was not associated with an increased risk of melanoma. A borderline increase in NMSC risk was observed compared with SGLT2is but was not evident after NCO calibration.

Indexed as

Diabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsMelanomaSkin NeoplasmsAgedDipeptidyl-Peptidase IV InhibitorsFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSodium-Glucose Transporter 2 InhibitorsDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitorscohort studyGLP‐1 analogueincretin therapypharmaco‐epidemiologytype 2 diabetes

Identifiers

PMID42521622
PMCPMC13538745

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.