ArticleJournal of gastrointestinal cancer2026
Long-Term Association Between GLP-1 Receptor Agonist Use and Incident Pancreatic Cancer: A Propensity Score-Matched Retrospective Cohort Study Using the TriNetX Network.
Article in Journal of gastrointestinal cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlucagon-like peptide-1 receptor agonists (GLP-1 RAs) are widely prescribed for type 2 diabetes mellitus (T2DM) and obesity. Whether GLP-1 RA use is associated with altered long-term pancreatic cancer risk remains uncertain, with conflicting evidence from prior observational studies. We aimed to evaluate the association between initiation of GLP-1 RA therapy and incident pancreatic cancer risk compared with six classes of antidiabetic agents.
methodsWe conducted a retrospective, new-user cohort study using the TriNetX global federated electronic health record network. Adults with T2DM initiating GLP-1RA therapy were compared with incident users of insulin, metformin, dipeptidyl peptidase-4 (DPP-4) inhibitors, sodium-glucose cotransporter-2 (SGLT2) inhibitors, sulfonylureas, and thiazolidinediones in six separate propensity score-matched analyses (1:1, greedy nearest-neighbor algorithm, caliper 0.1 pooled standard deviations). Matching was performed on 39 baseline covariates,, including demographics, comorbidities, procedures, and medication exposures. The primary outcome was incident pancreatic cancer (ICD-10-CM C25) occurring between 365 and 7,300 days after the index prescription. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression.
resultsAfter propensity score matching, GLP-1 RA users compared with insulin users had a lower hazard of pancreatic cancer (HR 0.43, 95% CI 0.35, 0.53; absolute risk: GLP-1 RA 0.15% vs. insulin 0.11%; absolute risk difference [ARD] 0.04% points). In contrast, users of metformin (HR 1.39, 95% CI 1.16, 1.66; ARD 0.04% points), sulfonylureas (HR 1.37, 95% CI 1.13, 1.65; ARD 0.07% points), thiazolidinediones (HR 1.30, 95% CI 1.001, 1.678; ARD 0.15% points) and DPP-4i (HR 1.31; 95% CI 1.06, 1.61; ARD 0.08% points) had significantly higher hazards of pancreatic cancer compared with GLP-1 RA users. No significant difference was observed between GLP-1 RA users and users of SGLT2 inhibitors (HR 1.08, 95% CI 0.87, 1.34).
conclusionsIn this large, real-world, propensity score-matched analysis, the direction and magnitude of the association between GLP-1 RA use and pancreatic cancer risk varied by comparator agent. GLP-1 RA use was associated with a lower hazard of pancreatic cancer relative to metformin, sulfonylureas, thiazolidinediones, and DPP-4i while no significant difference relative to SGLT2i, and a higher hazard relative to insulin.
Indexed as
Identifiers
42745130What OpenQuestion holds
Registered trials
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.