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Record W4381377969 · doi:10.2337/db23-52-or

52-OR: Effect of Oral Nonpeptide GLP-1 Receptor Agonist Orforglipron (LY3502970) in Participants with Obesity or Overweight—A Phase 2 Study

2023· article· en· W4381377969 on OpenAlexaboutno aff
Sean Wharton, Thomas Blevins, Lisa B. Connery, JULIO ROSENSTOCK, Sohini Raha, Kieren J. Mather, AXEL HAUPT, Deborah A. Robins, EDWARD J. PRATT, CHRISTOF M. KAZDA, Маниге Кониг

Bibliographic record

VenueDiabetes · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePlaceboWeight lossTolerabilityOverweightWaistObesityInternal medicineWeight changeClinical endpointBody mass indexAdverse effectGastroenterologyClinical trial

Abstract

fetched live from OpenAlex

Orforglipron (OFG) is a novel once daily oral non-peptide GLP-1 receptor agonist (RA) which can be taken with or without food, in development for chronic weight management. The objective of this Phase 2 study was to assess the efficacy, safety, and tolerability of OFG in patients with obesity or overweight with ≥1 weight-related comorbidity. Participants (N=272) were randomized to placebo or OFG (12, 24, 36, or 45 mg) treatment. OFG doses were increased to target using different dose escalation schemes in each arm. The primary endpoint was to compare percent body weight (BW) change from baseline in OFG vs placebo at Week 26, while the study continued to 36 weeks. Secondary endpoints included change from baseline in waist circumference (WC) and BMI, and the percentage of participants achieving ≥5 or ≥10% weight loss. At baseline, mean BW was 108.7 kg, BMI was 37.9 kg/m2, and 94% of participants had a BMI ≥30 kg/m2. Mean percentage BW loss, mean change in BMI and WC, and the percentage of participants achieving ≥5% or ≥10% weight loss were significantly greater with all OFG doses vs placebo (Figure). The AE profile was similar to other GLP-1 RAs; most were GI-related and mild to moderate in severity. The novel non-peptide GLP-1 RA OFG led to greater reductions in BW, BMI, and WC compared with placebo. These promising data support continued development of OFG as an oral treatment for obesity. Disclosure S.Wharton: Advisory Panel; Novo Nordisk, Eli Lilly and Company, Boehringer Ingelheim International GmbH, Bausch Health, Canada, Research Support; Novo Nordisk, Eli Lilly and Company, Speaker's Bureau; Novo Nordisk, Eli Lilly and Company, Bausch Health, Canada. C.M.Kazda: Employee; Eli Lilly and Company. M.Konig: None. T.Blevins: Other Relationship; Medtronic, Research Support; Lilly Diabetes, Novo Nordisk, Dexcom, Inc., Abbott Diabetes, Tandem Diabetes Care, Inc., Medtronic, Speaker's Bureau; Lilly Diabetes, Novo Nordisk A/S. L.B.Connery: None. J.Rosenstock: Advisory Panel; Applied Therapeutics Inc., Boehringer Ingelheim Inc., Eli Lilly and Company, Novo Nordisk, Oramed Pharmaceuticals, Sanofi, Zealand Pharma A/S, Intarcia Therapeutics, Inc., Hanmi Pharm. Co., Ltd., Research Support; Applied Therapeutics Inc., Boehringer Ingelheim Inc., Eli Lilly and Company, Merck & Co., Inc., Novartis, Novo Nordisk, Pfizer Inc., Sanofi, Intarcia Therapeutics, Inc. S.Raha: Employee; Eli Lilly and Company. K.J.Mather: Employee; Eli Lilly and Company. A.Haupt: Employee; Lilly, Stock/Shareholder; Lilly. D.A.Robins: None. E.J.Pratt: Employee; Eli Lilly and Company. Funding Eli Lilly and Company

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.028
GPT teacher head0.323
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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