1090-P: Reaching ADA Glycemic Targets without Hypoglycemia during Titration with Gla-300 and IDeg in T2DM: Exploratory Analyses from BRIGHT
Bibliographic record
Abstract
Guidelines emphasize achieving glycemic targets without hypoglycemia. BRIGHT demonstrated similar HbA1c reduction and less anytime (24 h) hypoglycemia with insulin glargine 300 U/mL (Gla-300) vs. insulin degludec 100 U/mL (IDeg) during the initial 12-week insulin titration period, in insulin-naïve adults with T2DM. We investigated achievement of ADA-recommended HbA1c and fasting self-monitored plasma glucose (FSMPG) targets without confirmed (≤70 mg/dL) hypoglycemia in the first 12 weeks. BRIGHT was a 24-week, multicenter, open-label, randomized, active-controlled, parallel-group, phase 4 trial. Participants were randomized to Gla-300 (n=466) or IDeg (n=463), titrated to a FSMPG of 80-100 mg/dL (below ADA-recommended FSMPG target of ≤130 mg/dL). A similar proportion of participants at week 8 achieved HbA1c <7% without hypoglycemia in both groups; this proportion was numerically higher with Gla-300 than IDeg at week 12 (16.9% vs. 13.6%). From baseline to week 5, numerically more patients with IDeg achieved FSMPG ≤130 mg/dL without hypoglycemia vs. Gla-300, but from week 6 to 12 this was reversed (Figure). More participants achieved ADA-recommended glycemic targets without hypoglycemia with Gla-300 vs. IDeg during the titration period of BRIGHT. These second-generation basal insulin analogs may allow more aggressive titration after insulin initiation in T2DM. Disclosure R. Roussel: Advisory Panel; Self; Merck Sharp & Dohme Corp., Sanofi. Consultant; Self; Abbott, AstraZeneca, Eli Lilly and Company, Medtronic, Novo Nordisk A/S, Physiogenex. Research Support; Self; Janssen Pharmaceuticals, Inc. J.P. Frias: Advisory Panel; Self; Becton, Dickinson and Company, Eli Lilly and Company, Gilead Sciences, Inc., Sanofi. Consultant; Self; Echosens, Genentech, Inc., Johnson & Johnson Diabetes Institute, Novo Nordisk Inc., Zafgen, Inc. Research Support; Self; AbbVie Inc., Akcea Therapeutics, Allergan, Amgen Inc., AstraZeneca, Bayer US, Boehringer Ingelheim Pharmaceuticals, Inc., Bristol-Myers Squibb Company, Cirius Therapeutics, Elcelyx Therapeutics, Inc., Eli Lilly and Company, Enanta Pharmaceuticals, Inc., GENFIT, Intarcia Therapeutics, Inc., Intercept Pharmaceuticals, Inc., Ionis Pharmaceuticals, Inc., Janssen Pharmaceuticals, Inc., Merck & Co., Inc., NGM Biopharmaceuticals, Novartis Pharmaceuticals Corporation, Novo Nordisk A/S, Oramed Pharmaceuticals, Pfizer Inc., Sanofi, TaiwanJ Pharmaceuticals Co., Ltd., Theracos, Inc. Speaker's Bureau; Self; Merck & Co., Inc., Sanofi. J. Westerbacka: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. Z. Bosnyak: Employee; Self; Sanofi. Stock/Shareholder; Self; Sanofi. L. Melas-Melt: Consultant; Self; Sanofi. L. Berard: Advisory Panel; Self; Eli Lilly and Company. Consultant; Self; Abbott, Ascensia Diabetes Care, AstraZeneca, Bayer AG, Becton, Dickinson and Company, Janssen Pharmaceuticals, Inc., LifeScan Canada, Mylan, Novo Nordisk Inc., Sanofi. Research Support; Self; Montmed Inc. Speaker's Bureau; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Merck & Co., Inc. A.Y. Cheng: Advisory Panel; Self; Abbott, AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, HLS Therapeutics, Janssen Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk A/S, Sanofi. Research Support; Self; Boehringer Ingelheim International GmbH, Sanofi. Speaker's Bureau; Self; Abbott, AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Janssen Pharmaceuticals, Inc., mdBriefCase Group Inc., Merck & Co., Inc., Novo Nordisk A/S, Sanofi. Funding Sanofi (NCT02738151)
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".