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Record W3035418026 · doi:10.2337/db20-964-p

964-P: Glycemic and Body Weight Responses to Oral Semaglutide in the PIONEER Trial Program

2020· article· en· W3035418026 on OpenAlexaboutno aff
Kathleen Dungan, CHRISTIN L. HERTZ, Linda Mellbin, Morten Abildlund Nielsen, Rasmus Sørrig, Vincent Woo, Tina Vilsbøll

Bibliographic record

VenueDiabetes · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSemaglutideMedicineGlycemicEmpagliflozinLiraglutideWeight lossSitagliptinPlaceboInternal medicineType 2 diabetesDulaglutideGastroenterologyDiabetes mellitusInsulinEndocrinologyObesity

Abstract

fetched live from OpenAlex

The PIONEER phase 3 program investigated glycemic response and other efficacy endpoints in patients (pts) with type 2 diabetes randomized to the glucagon-like peptide-1 analog oral semaglutide (sema; 3, 7 or 14 mg once daily), placebo (pbo) or an active comparator (empagliflozin [empa] 25 mg, sitagliptin [sita] 100 mg or liraglutide [lira] 1.8 mg once daily). This post-hoc analysis of the PIONEER 1-5 and 8 trials evaluated the response of any reduction in HbA1c (%) and/or body weight (%), and a clinically relevant composite endpoint of HbA1c reduction ≥1% and body weight loss ≥5%, with oral sema 14 mg vs. comparators at the end of treatment (26-78 weeks). Across trials, any reduction in HbA1c was observed in higher proportions of pts with oral sema (89-95%) than with pbo (51-64%) or active comparators (82-88%). A simultaneous reduction in both HbA1c and body weight was seen in 72-86% of pts treated with oral sema (Figure). The composite of HbA1c reduction ≥1% and body weight loss ≥5% was achieved by 27-41% of pts with oral sema, 1-8% of pts with pbo, 11% with sita 100 mg, 18% with lira 1.8 mg, and 20% with empa 25 mg. Within each trial, the odds of achieving HbA1c reduction of ≥1% and body weight loss of ≥5% with oral sema 14 mg were significantly greater vs. all comparators (p<0.0001). These results demonstrate that oral sema 14 mg was more effective vs. comparators for providing any HbA1c reduction, or both an HbA1c reduction ≥1% and body weight loss ≥5%. Disclosure K.M. Dungan: Advisory Panel; Self; Eli Lilly and Company, Elsevier. Research Support; Self; Novo Nordisk Inc., Sanofi-Aventis. Speaker’s Bureau; Self; Nova Biomedical. Other Relationship; Self; UpToDate, Vizient Inc. C.L. Hertz: Employee; Self; Novo Nordisk A/S. L. Mellbin: Advisory Panel; Self; Amgen, AstraZeneca, Novo Nordisk A/S, Sanofi-Aventis. Consultant; Self; AstraZeneca, Bayer AG, Novo Nordisk A/S. Research Support; Self; Bayer AG. Speaker’s Bureau; Self; Novo Nordisk A/S. Other Relationship; Self; Novo Nordisk Foundation. M. Abildlund Nielsen: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. Stock/Shareholder; Spouse/Partner; Novo Nordisk A/S. R. Sørrig: Employee; Self; Novo Nordisk A/S. V.C. Woo: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Lilly Diabetes, Novo Nordisk Inc. Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Janssen Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk Inc., Sanofi-Aventis. T. Vilsbøll: Advisory Panel; Self; AstraZeneca, Mundipharma International, Novo Nordisk A/S, Sun Pharmaceutical Industries Ltd. Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Lilly Diabetes, Medscape, Merck Sharp & Dohme Corp., Sanofi. Funding Novo Nordisk A/S

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)0.002
metaresearch head score (Gemma)0.002
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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.289
Teacher spread0.265 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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