Clinical Trials — Metabolic & Endocrine

Draft review set — obesity, diabetes, and lipid disorders (GLP-1 / tirzepatide, SGLT2, dyslipidemia). Each card leads with the engine's verdict; open any to read the full report before publishing.

Randomized clinical trials in obesity, diabetes, and lipid disorders (GLP-1 / tirzepatide, SGLT2, dyslipidemia), from NEJM · Lancet · Nature Medicine · BMJ (2024–2026) — reviewed by the Αlpha¹ Rigor Review engine for rigor & reproducibility.

2Reviewed

2Pass

0Warn

0Critical

Sort

Interventional0/6Action Items · Critical / High

Tirzepatide on ingestive behavior in adults with overweight or obesity: a randomized 6-week phase 1 trial

Martin CK, Carmichael OT, Carnell S, Considine RV, Kareken DA, Dydak U, Mattes RD, Scott D, Shcherbinin S, Nishiyama H, Knights A, Urva S, Biernat L, Pratt E, Haupt A, Mintun M, Otero Svaldi D, Milicevic Z, Coskun T.

PASSScore 72

Conclusions

10 supported · 2 partial of 12

8 Rigor Dimensions

8 of 8 pass

Verified

3/3 links live2 stat inconsistentregistered

3 Αlpha¹ Rigor Reviewers · high confidenceAI Rigor Reviewers trained on Alpha1 corpus · verify findings

Read paperDOI Open record

Interventional0/4Action Items · Critical / High

Ultraprocessed or minimally processed diets following healthy dietary guidelines on weight and cardiometabolic health: a randomized, crossover trial

Dicken SJ, Jassil FC, Brown A, Kalis M, Stanley C, Ranson C, Ruwona T, Qamar S, Buck C, Mallik R, Hamid N, Bird JM, Brown A, Norton B, Gandini Wheeler-Kingshott CAM, Hamer M, van Tulleken C, Hall KD, Fisher A, Makaronidis J, Batterham RL.

PASSScore 100

Conclusions

9 supported · 3 partial of 12

8 Rigor Dimensions

8 of 8 pass

Verified

7/7 links livestats consistentregistered

3 Αlpha¹ Rigor Reviewers · high confidenceAI Rigor Reviewers trained on Alpha1 corpus · verify findings

Read paperDOI Open record

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How to read this.The engine surfaces specific, verifiable rigor problems — it does notpredict retractions, and a “pass” is not a guarantee of soundness. Papers are analyzed on their published full text with any retraction notice removed, so detection is content-based. Real-world outcome labels (retracted, landmark) are curator-assigned from the public record; the verdict and every surfaced problem are the engine’s own. These are selected examples.