Incretin‐Based Drugs and Risk of Intestinal Obstruction Among Patients With Type 2 Diabetes
Bibliographic record
Abstract
Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dipeptidyl peptidase-4 (DPP-4) inhibitors might increase the risk of intestinal obstruction, but real-world evidence for this severe adverse event is lacking. Thus, the objective of this study was to determine whether GLP-1 RAs and DPP-4 inhibitors are associated with an increased risk of intestinal obstruction compared with sodium-glucose cotransporter-2 (SGLT-2) inhibitors. We used the United Kingdom Clinical Practice Research Datalink and linked databases to assemble two new-user, active comparator cohorts (2013-2019). The first included 25,617 and 67,261 GLP-1 RA and SGLT-2 inhibitor users, respectively. The second included 131,927 and 40,615 DPP-4 inhibitor and SGLT-2 inhibitor users, respectively. Propensity score fine stratification weighted Cox proportional hazards models were fit to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of intestinal obstruction requiring hospitalization. GLP-1 RAs were associated with an increased risk of intestinal obstruction compared with SGLT-2 inhibitors (1.9 vs. 1.1 per 1,000 person-years, respectively; HR: 1.69, 95% CI: 1.04-2.74). The highest HR was observed after 1.6 years of use (HR: 3.48, 95% CI: 1.79-6.79). DPP-4 inhibitors were also associated with an increased risk (2.7 vs. 1.0 per 1,000 person-years; HR: 2.59, 95% CI: 1.52-4.42), with the highest HR observed after 1.8 years of use (HR: 9.53, 95% CI: 4.47-20.30). The number needed to harm after 1 year of use was 1,223 and 603 for GLP-1 RAs and DPP-4 inhibitors, respectively. In this large real-world study, GLP-1 RAs and DPP-4 inhibitors were associated with an increased risk of intestinal obstruction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".