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Record W3035035902 · doi:10.2337/db20-930-p

930-P: Efficacy of Oral Semaglutide According to Race: An Exploratory Subgroup Analysis of the PIONEER Trial Program

2020· article· en· W3035035902 on OpenAlexaboutno aff
Cyrus Desouza, Aslam Amod, Klaus Kallenbach, Peter Lin, Morten Abildlund Nielsen, Rasmus Sørrig, Eduard Montanya

Bibliographic record

VenueDiabetes · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSemaglutideMedicineLiraglutideSubgroup analysisPlaceboInternal medicineGlycated hemoglobinExploratory analysisType 2 diabetesFamily medicineDiabetes mellitusEndocrinologyAlternative medicineConfidence interval

Abstract

fetched live from OpenAlex

The global PIONEER program investigated the efficacy and safety of oral semaglutide, a glucagon-like peptide-1 receptor agonist. Patients with type 2 diabetes were randomized to once-daily oral semaglutide (3, 7 or 14 mg, or flexibly dosed [flex]), placebo, or active comparator (empagliflozin 25 mg, sitagliptin 100 mg or liraglutide 1.8 mg). This exploratory subgroup analysis evaluated the effect of race on glycated hemoglobin (HbA1c) and body weight (BW) reductions at the end of treatment (week 26, 52 or 78). Data were analyzed from PIONEER 1-5, 7 and 8 by race (White, Asian, Black/African American). Baseline characteristics were generally similar across subgroups except for BW, which was lower in Asian patients. Generally, greater HbA1c reductions were observed with oral semaglutide 14 mg/flex vs. comparators across subgroups (Table). In PIONEER 1, 4 and 8, there was a significant interaction between treatment and race, with greater HbA1c reductions and estimated treatment differences in Asian patients than in other subgroups (Table). Overall, BW reductions were greater for oral semaglutide vs. comparators, regardless of subgroup and without significant interactions between treatment and race. Our findings in this exploratory subgroup analysis suggest that, in some PIONEER trials, Asian patients achieve greater HbA1c reductions than other race groups when treated with oral semaglutide. Disclosure C. Desouza: Consultant; Self; AstraZeneca, Bayer AG, Novo Nordisk A/S. A. Amod: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly Diabetes, Novo Nordisk A/S, Sanofi-Aventis, Servier. Consultant; Self; Servier. Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Lilly Diabetes, Novo Nordisk A/S, Sanofi-Aventis, Servier. K. Kallenbach: None. P.J. Lin: Speaker’s Bureau; Self; Abbott, AstraZeneca, Bausch + Lomb, Bayer Inc., Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Mead Johnson Nutrition, Merck & Co., Inc., Novo Nordisk Inc., Sun Pharmaceutical Industries Ltd. Other Relationship; Self; Elsevier. 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. E. Montanya: Advisory Panel; Self; Sanofi. Consultant; Self; Novartis Pharmaceuticals Corporation. Employee; Spouse/Partner; Almirall. Speaker’s Bureau; Self; AstraZeneca, Merck Sharp & Dohme Corp., Novo Nordisk A/S. 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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.007
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.036
GPT teacher head0.303
Teacher spread0.267 · 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 designObservational
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

Citations4
Published2020
Admission routes1
Has abstractyes

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