Gastrointestinal adverse events and weight reduction in people with type 2 diabetes treated with tirzepatide in the <scp>SURPASS</scp> clinical trials
Bibliographic record
Abstract
AIMS: To evaluate gastrointestinal adverse events (AEs) and the impact of nausea, vomiting or diarrhoea (N/V/D) and any gastrointestinal (GI) AEs overall on weight change with tirzepatide across the SURPASS-1 to -5 clinical trials. MATERIALS AND METHODS: Participants with type 2 diabetes were randomized to receive once-weekly tirzepatide (5, 10 or 15 mg) or comparator (placebo, semaglutide 1 mg once weekly, or titrated daily basal insulins) as monotherapy or added on to background antihyperglycaemic medication(s). This post hoc analysis subdivided participants within each trial into subgroups that self-reported (yes/no) any N/V/D or GI AEs. Change from baseline in body weight at the primary timepoint was assessed within each trial and subgroup. Mediation analyses were conducted to evaluate the contribution of direct and indirect (mediated by N/V/D or GI AEs) effects of tirzepatide on weight change versus comparators. RESULTS: Across the SURPASS-1 to -5 trials (N = 6263), nausea (12%-24%), diarrhoea (12%-22%), and vomiting (2%-13%) were the most common GI AEs reported with tirzepatide; these were transient and of mild-to-moderate severity. Mean weight reduction at the primary timepoint with tirzepatide was consistent between participants who reported N/V/D (-6.2 to -14.9 kg) and those who did not report N/V/D (-6.2 to -13.3 kg). Mean weight reduction was significantly (P < 0.01) greater with tirzepatide compared with placebo, semaglutide 1 mg, and basal insulins within the N/V/D and GI AEs subgroups. Mediation analyses suggested minimal contribution (<6%) of N/V/D and GI AEs to the overall difference in weight change between tirzepatide and comparators. CONCLUSIONS: Superior weight reduction with tirzepatide versus comparators appears to be independent of reported N/V/D or GI AEs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".