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Record W2808886095 · doi:10.2337/db18-1032-p

Lower Hypoglycemia Rates with Insulin Glargine 300 U/mL (Gla-300) vs. Insulin Degludec 100 U/mL (IDeg-100) in Insulin-Naïve Adults with T2DM on Oral Antihyperglycemic Therapy ± GLP-1RA—The BRIGHT Randomized Study

2018· article· en· W2808886095 on OpenAlexaboutno aff
Geremia B. Bolli, Alice Cheng, Zsolt Bosnyák, Emmanuelle Boëlle‐Le Corfec, Anna M. G. Cali, Xiangling Wang, Juan P. Frías, Ronan Roussel, Julio Rosenstock

Bibliographic record

VenueDiabetes · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHypoglycemiaMedicineInsulin glargineGlycemicInsulinInternal medicineInsulin degludecEndocrinologyConfidence interval

Abstract

fetched live from OpenAlex

This 24-week open-label, treat-to-target trial (NCT02738151) investigated the efficacy and safety of Gla-300 vs. IDeg-100 in insulin-naïve T2DM, inadequately controlled on oral antihyperglycemic drugs ± GLP-1 RAs. Non-inferiority of Gla-300 vs. IDeg-100 was demonstrated for the primary endpoint (HbA1c change, baseline to week 24). Here we analyzed hypoglycemia by treatment period; day 1 to week 24 (full study period), day 1 to week 12 (titration period) and week 13 to week 24 (maintenance period). Incidence of confirmed [≤70 mg/dL] or severe hypoglycemia at any time of day (24 h) was lower with Gla-300 vs. IDeg-100 (odds ratio 0.74 [95% confidence interval: 0.57 to 0.97]) during the titration period but was similar at any time of day (24 h) or at night (00:00-05:59 h) during the maintenance and full study periods. Annualized rates of hypoglycemia (Figure) were lower with Gla-300 vs. IDeg-100 during the full study period, particularly over the titration period, despite higher final daily doses of Gla-300 vs. IDeg-100 (0.54 and 0.43 U/kg from starting doses 0.2 U/kg and 10 U/day [0.12 U/kg], respectively). Gla-300 resulted in similar incidence but lower rates of hypoglycemia, particularly during the titration period, with comparable glycemic control vs. IDeg-100 in insulin-naïve people with T2DM ± GLP-1 RA. Disclosure G.B. Bolli: Speaker's Bureau; Self; Menarini Group, Sanofi. Research Support; Self; Sanofi. 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. E. Boelle-Le Corfec: 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. J.P. Frias: Research Support; Self; AbbVie Inc., Allergan, Amgen Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Bristol-Myers Squibb Company. Consultant; Self; CeQur Corporation. Research Support; Self; Cirius Therapeutics, AstraZeneca, Calibra Medical, Elcelyx Therapeutics, Inc.. Consultant; Self; Elcelyx Therapeutics, Inc.. Research Support; Self; Eli Lilly and Company, Genentech, Inc., Ionis Pharmaceuticals, Inc., ICON plc., Janssen Pharmaceuticals, Inc.. Consultant; Self; Johnson & Johnson Diabetes Institute, LLC.. Research Support; Self; Lexicon Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc.. Consultant; Self; Ligand Pharmaceuticals, Inc.. Research Support; Self; Merck & Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk Inc., Pfizer Inc., Sanofi. Consultant; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Research Support; Self; Theracos, Inc. 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..

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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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