775-P: Predictors of Glycemic Control in Older People with Type 2 Diabetes Treated with iGlarLixi—A Pooled Analysis
Bibliographic record
Abstract
For older adults (>65 years) with type 2 diabetes (T2D), iGlarLixi can be a simple and effective therapeutic option. We aimed to identify factors associated with achieving target HbA1c <7% and derived Time in Range (dTIR) ≥70% in this population in response to once daily iGlarLixi. This post-hoc, pooled analysis of 4 randomized trials included 465 people advancing from oral (LixiLan-O), GLP-1 RA (LixiLan-G), or insulin (LixiLan-L; SoliMix) therapies to iGlarLixi for 26 or 30 weeks. HbA1c and dTIR responses were assessed at baseline (BL) and end of treatment (EOT) for each participant and classified as attained (<7.0% or dTIR ≥70%) or unattained (≥7.0% or <70%). dTIR was calculated from 7-point self-monitored plasma glucose profiles from the three LixiLan studies (LixiLan-O. G, and L). Potential predictive factors were analyzed by univariable and multivariable stepwise logistic regression. Overall, 60% of participants achieved HbA1c <7.0% and 87.5% achieved dTIR ≥70%. Predictors of attained HbA1c response (p<0.05) included lower BL HbA1c and lower BL insulin dose. Predictor of attained dTIR response (p<0.05) was higher BL fasting plasma glucose (FPG; Table), while sex, T2D duration, and obesity had no predictive value. To conclude, in older people with T2D treated with iGlarLixi, consideration of BL HbA1c and FPG, as well as BL insulin dose may improve achieving individualized glycemic targets. Disclosure M.Munshi: Consultant; Sanofi. R.Ritzel: Consultant; Novo Nordisk, Sanofi, Speaker's Bureau; Novo Nordisk, Sanofi, Pfizer Inc., Merck Sharp & Dohme Corp., Lilly. R.J.Mccrimmon: Advisory Panel; Sanofi, Speaker's Bureau; Novo Nordisk A/S. I.Hramiak: Research Support; Eli Lilly and Company, Novo Nordisk, Sanofi, Speaker's Bureau; Canadian Medical & Surgical Knowledge Translation Research Group (CMS), Insulet Corporation, Medtronic, Merck & Co., Inc., Bayer Inc. F.Lauand: Employee; Sanofi. L.Melas-melt: None. E.Souhami: Employee; Sanofi, Stock/Shareholder; Sanofi. J.Rosenstock: Advisory Panel; Applied Therapeutics Inc., Boehringer Ingelheim Inc., Eli Lilly and Company, Novo Nordisk, Oramed Pharmaceuticals, Sanofi, Zealand Pharma A/S, Intarcia Therapeutics, Inc., Hanmi Pharm. Co., Ltd., Research Support; Applied Therapeutics Inc., Boehringer Ingelheim Inc., Eli Lilly and Company, Merck & Co., Inc., Novartis, Novo Nordisk, Pfizer Inc., Sanofi, Intarcia Therapeutics, Inc. Funding 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 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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.025 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".