95-LB: LixilanONE CAN: Randomized Trial Comparing a Daily vs. Weekly Titration Algorithm for Switching from Basal Insulin to iGlarLixi Fixed-Ratio Combination in People with T2DM in Canada
Bibliographic record
Abstract
The combination of basal insulin with a GLP-1 RA may be helpful for people with T2DM to achieve and maintain HbA1c targets compared with each used individually.This randomized, 26-week, multicenter Phase 3 study (NCT03767543) in people with T2DM included participants with HbA1c ≥7.5% and ≤10.5%, and on basal insulin for ≥6 months (dose of ≤40 units/day). In addition to background oral glucose lowering medications, all participants received once-daily iGlarLixi, a fixed-ratio combination given within 1 hour prior to their first meal of the day, and were randomized 1:1 with instructions to titrate daily using a 1 unit per day algorithm or the traditional once-weekly titration (2 or 4 units per week) with target FPG of 4.4 to 5.6 mmol/L (79.2 to 100.8 mg/dL).Daily titration of iGlarLixi was superior to a weekly titration for the primary endpoint of change from baseline in HbA1c at week 26.The proportion of participants experiencing ≥1 gastrointestinal event(s) (27.9% daily vs. 27.8% weekly titration) and incidence of hypoglycemic events (84% daily vs. 81% weekly titration) were similar between the two arms.In this randomized trial, a daily titration algorithm for iGlarLixi was demonstrated as a safe alternative to the traditional weekly titration, while allowing patients to reach their maintenance dose earlier.View largeDownload slideView largeDownload slide DisclosureI. Hramiak: Advisory Panel; Self; AstraZeneca, Bayer Inc., BI-Lilly Joint Venture (Boehringer Ingelheim and Eli Lilly), Dexcom, Inc., Insulet Corporation, Medtronic, Research Support; Self; Eli Lilly and Company, Novo Nordisk, Sanofi. H. C. Gerstein: Advisory Panel; Self; Novo Nordisk Inc., Pfizer Inc., Sanofi, Consultant; Self; Abbott, Covance Inc., Eli Lilly and Company, Kowa Company, Ltd., Sanofi, Other Relationship; Self; Boehringer Ingelheim (Canada) Ltd., DKSH, Eli Lilly and Company, Sanofi, Zuellig, Research Support; Self; AstraZeneca, Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk Inc., Sanofi. L. A. Leiter: Advisory Panel; Self; Abbott Diabetes, Amgen Inc., AstraZeneca, Bayer Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Esperion, Janssen Pharmaceuticals, Inc., Merck & Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk, Pfizer Inc., Sanofi, Other Relationship; Self; Applied Therapeutics, Research Support; Self; Amgen Inc., AstraZeneca, Esperion, Kowa Company, Ltd., Lexicon Pharmaceuticals, Inc., Medicines Company, Novartis Pharmaceuticals Corporation, Speaker’s Bureau; Self; Amgen Inc., AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Novo Nordisk Inc. J. Yale: Advisory Panel; Self; Abbott, AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Novo Nordisk Canada Inc., Sanofi, Research Support; Self; Bayer Inc., Speaker’s Bureau; Self; Dexcom, Inc., Medtronic, Merck & Co., Inc., Omnipod. H. S. Bajaj: Other Relationship; Self; Eli Lilly and Company, Novo Nordisk, Research Support; Self; Amgen Inc., AstraZeneca, Boehringer Ingelheim International GmbH, Gilead Sciences, Inc., Kowa Pharmaceuticals America, Inc., Merck & Co., Inc., Sanofi, Tricida, Inc. J. A. Stewart: Employee; Self; Sanofi. M. Toutounji: Employee; Self; Sanofi. S. B. Harris: Advisory Panel; Self; Abbott Diabetes, Abvance Therapeutics, HLS Therapeutics Inc., Lilly Diabetes, Novo Nordisk A/S, Consultant; Self; Boehringer Ingelheim (Canada) Ltd., mdBriefCase, Other Relationship; Self; American Diabetes Association, AstraZeneca, Novo Nordisk Canada Inc., Sanofi.FundingSanofi Canada
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".