Retatrutide for the treatment of obesity, obstructive sleep apnea and knee osteoarthritis: Rationale and design of the <scp>TRIUMPH</scp> registrational clinical trials
Bibliographic record
Abstract
AIMS: Retatrutide, a novel synthetic molecule, is a triple agonist activating the glucose-dependent insulinotropic polypeptide, glucagon-like peptide-1 and glucagon receptors. The TRIUMPH clinical development program evaluates its safety and efficacy concurrently for the treatment of obesity and two related complications-obstructive sleep apnea (OSA) and knee osteoarthritis (OA). A novel basket trial design simultaneously evaluates retatrutide treatment across these multiple adiposity-related disease states. MATERIALS AND METHODS: TRIUMPH consists of four Phase 3, multicenter, randomized, double-blind studies assessing weekly subcutaneous retatrutide compared to placebo, in conjunction with healthy diet and physical activity in over 5800 participants. The four trials consist of two weight management basket trials (TRIUMPH-1 and TRIUMPH-2) with OSA and/or OA protocols nested within the weight management trial; one weight management trial in a population with CVD (TRIUMPH-3); and one stand-alone OA trial (TRIUMPH-4). The primary endpoint for weight management is percent change in body weight, for OSA is change in Apnea-Hypopnea Index and for knee OA includes change in the Western Ontario and McMaster Universities Osteoarthritis Index pain subscale score. The basket trial permits independent analysis of weight management, OSA and OA studies with type I error rate controlled at α = 0.05, split between the overarching weight management and each basket trial. CONCLUSIONS: By recruiting participants with shared disease exposures, the TRIUMPH program will assess the safety and efficacy of retatrutide for the treatment of adults with obesity and two of its common complications-OSA and OA.
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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 | 0.059 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".