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Record W2808801699 · doi:10.2337/db18-1029-p

Impact of Background Antihyperglycemic Therapy on Insulin Glargine 300 U/mL (Gla-300) vs. Insulin Degludec 100 U/mL (IDeg-100) in Insulin-Naïve People with T2DM from the BRIGHT Randomized Study

2018· article· en· W2808801699 on OpenAlexaboutno aff
Ronan Roussel, Julio Rosenstock, Jeremy Pettus, Robert Ritzel, Alice Cheng, Zsolt Bosnyák, Christine Devisme, Anna M. G. Cali, Xiangling Wang, Geremia B. Bolli

Bibliographic record

VenueDiabetes · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInsulin glargineInsulin degludecHypoglycemiaMetforminInsulinClinical endpointInternal medicineDiabetes mellitusRandomized controlled trialIncidence (geometry)Endocrinology

Abstract

fetched live from OpenAlex

BRIGHT (NCT02738151), the first head-to-head trial of Gla-300 and IDeg-100 in T2DM, is a multicenter, open-label, randomized, parallel-group, 24-week actively controlled study, conducted in insulin-naïve participants uncontrolled on current antihyperglycemic drugs. Participants (mean baseline HbA1c 8.6%, diabetes duration 10.6 years, BMI 31.5 kg/m2) received Gla-300 (N=466) or IDeg-100 (N=463), titrated to a fasting SMPG of 80-100 mg/dL, and remained on metformin ± previous antihyperglycemic therapy. Primary endpoint: change in HbA1c from baseline to week 24; safety endpoints included hypoglycemia incidence. Here we report HbA1c and hypoglycemia outcomes by background antihyperglycemic therapy (no comparisons were performed for metformin as it was received by 92% of participants). Overall distribution of background therapy was: SU/Glinides (65.7%/2.3%), DPP-4i (24.4%), SGLT2i (13.3%), GLP-1 RA (11.9%). No evidence of heterogeneity of treatment effect according to use of background antihyperglycemic therapy on HbA1c reductions (Table), or incidence of confirmed (≤70 mg/dL or <54 mg/dL) or severe hypoglycemia was shown (all p>0.05). In conclusion, background antihyperglycemic therapies had no impact on the comparable efficacy and hypoglycemia profiles of Gla-300 and IDeg-100. Disclosure R. Roussel: Advisory Panel; Self; AbbVie Inc., Abbott, Eli Lilly and Company, Sanofi, Novo Nordisk A/S, AstraZeneca. Speaker's Bureau; Self; Servier. Consultant; Self; Bayer AG. Advisory Panel; Self; Merck Sharp & Dohme Corp.. Research Support; Self; Amgen Inc., Sanofi, Novo Nordisk A/S, Danone Research. Stock/Shareholder; Self; Iriade. Advisory Panel; Self; Physiogenex S.A.S. J. Rosenstock: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Eli Lilly and Company. Research Support; Self; Novo Nordisk Inc.. Consultant; Self; Novo Nordisk Inc.. Advisory Panel; Self; Sanofi. Consultant; Self; Sanofi. Advisory Panel; Self; Janssen Pharmaceuticals, Inc.. Consultant; Self; Janssen Pharmaceuticals, Inc.. Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Advisory Panel; Self; Intarcia Therapeutics, Inc.. Consultant; Self; Intarcia Therapeutics, Inc.. Research Support; Self; Merck & Co., Inc., Pfizer Inc., Sanofi, Novo Nordisk Inc., Bristol-Myers Squibb Company, Eli Lilly and Company, Intarcia Therapeutics, Inc., Genentech, Inc. J. Pettus: Advisory Panel; Self; Sanofi, Novo Nordisk Inc.. Consultant; Self; MannKind Corporation. Advisory Panel; Self; Insulet Corporation. Consultant; Self; Senseonics. R. Ritzel: Speaker's Bureau; Self; AstraZeneca. Consultant; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Novo Nordisk A/S. Consultant; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Consultant; Self; Servier. Speaker's Bureau; Self; Bristol-Myers Squibb Company, Merck Sharp & Dohme Corp., Boehringer Ingelheim GmbH, Eli Lilly and Company, Novartis Pharmaceuticals Corporation. A. Cheng: Advisory Panel; Self; Abbott. Speaker's Bureau; Self; Abbott. Advisory Panel; Self; AstraZeneca. Speaker's Bureau; Self; AstraZeneca. Advisory Panel; Self; Boehringer Ingelheim GmbH. Speaker's Bureau; Self; Boehringer Ingelheim GmbH. Advisory Panel; Self; Eli Lilly and Company. Speaker's Bureau; Self; Eli Lilly and Company. Advisory Panel; Self; Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Janssen Pharmaceuticals, Inc.. Advisory Panel; Self; Merck & Co., Inc.. Speaker's Bureau; Self; Merck & Co., Inc.. Advisory Panel; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Novo Nordisk A/S. Advisory Panel; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Consultant; Self; Takeda Canada Inc.. Research Support; Self; Sanofi, Boehringer Ingelheim GmbH. Z. Bosnyak: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. C. Devisme: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. A.M. Cali: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. X. Wang: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. G.B. Bolli: Speaker's Bureau; Self; Menarini Group, Sanofi. Research Support; Self; Sanofi.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.016
GPT teacher head0.278
Teacher spread0.262 · 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
Published2018
Admission routes1
Has abstractyes

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