1867-LB: A Real-World Study Assessing the Efficacy and Safety of Switching from Basal–Bolus Insulin Therapy to Once-Daily iGlarLixi in People with Type 2 Diabetes—Soli De-escalation
Notice bibliographique
Résumé
Introduction and Objective: Basal bolus insulin (BBI) therapy is associated with body weight (BW) gain and an increased risk of hypoglycemia, further increasing the treatment burden for people with T2D. This real-world study assessed the efficacy and safety of switching from BBI to iGlarLixi, a once-daily fixed-ratio combination of insulin glargine 100 U/mL plus lixisenatide, in people with T2D. Methods: This real-world retrospective study included people with T2D (≥18 years) who received ≥1 iGlarLixi prescription during the identification (ID) period following prior treatment with BBI using the Optum Market Clarity® electronic medical record dataset of people with T2D from the United States. The primary endpoint was HbA1c change at 6 months. Secondary endpoints were HbA1c change at 3 months, BW change and hypoglycemic event rate at 6 months. Results: In total, 11,887 people received ≥1 iGlarLixi prescription during the ID period, and of these, 372 had switched from a BBI regimen to iGlarLixi (mean age, 59 years; mean baseline HbA1c, 9.55%; mean baseline BW, 101.9 kg). From baseline to Month 6, switching to iGlarLixi resulted in a significant mean HbA1c reduction of −0.93% (95% confidence interval [CI]: −1.13, −0.74; p<0.0001) to 8.61% (n=372). At Month 3, HbA1c was 8.68% (n=204). The mean change in BW at 6 months was −0.89 kg (95% CI: −1.61, −0.18; n=359). The hypoglycemia event rate was 46.24 per 100 person-years of follow-up (P100PYFU) at baseline and 40.32 P100PYFU (event rate ratio: 0.77; 95% CI: 0.57, 1.05) after 6 months of iGlarLixi treatment. Conclusion: In a real-world setting, people with T2D and elevated HbA1c switching from a BBI regimen to a once-daily injection of iGlarLixi achieved lower HbA1c, weight benefit and numerically lower hypoglycemic events. Disclosure F. Giorgino: Consultant; AstraZeneca, Boehringer-Ingelheim, Eli Lilly and Company, LifeScan Diabetes Institute, Merck Sharp & Dohme Corp., Medtronic, Novo Nordisk, Roche Diabetes Care, Sanofi. Research Support; Eli Lilly and Company, Roche Diabetes Care. F. Lauand: Employee; Sanofi. Stock/Shareholder; Sanofi. S. Servera: Employee; Sanofi. X. Li: Employee; Sanofi. Z. Taybani: Advisory Panel; Boehringer-Ingelheim. Consultant; Novo Nordisk, AstraZeneca. Speaker's Bureau; Sanofi. A.Y.Y. Cheng: Advisory Panel; Abbott. Speaker's Bureau; Amgen Inc., AstraZeneca, Bausch Health. Advisory Panel; Bayer Inc. Speaker's Bureau; Abbott, Bayer Inc. Research Support; Applied Therapeutics Inc. Advisory Panel; Boehringer-Ingelheim. Speaker's Bureau; Boehringer-Ingelheim, Dexcom, Inc. Advisory Panel; Dexcom, Inc., Eli Lilly and Company. Speaker's Bureau; Eli Lilly and Company. Advisory Panel; Eisai Inc. Speaker's Bureau; GlaxoSmithKline plc. Advisory Panel; HLS Therapeutics Inc. Speaker's Bureau; HLS Therapeutics Inc., Insulet Corporation. Advisory Panel; Insulet Corporation, Janssen Pharmaceuticals, Inc. Speaker's Bureau; Janssen Pharmaceuticals, Inc., Medtronic. Advisory Panel; Novo Nordisk. Speaker's Bureau; Novo Nordisk. Research Support; Novo Nordisk. Speaker's Bureau; Pfizer Inc. Advisory Panel; Sanofi. Speaker's Bureau; Sanofi. Research Support; Sanofi. Advisory Panel; Takeda Canada, AstraZeneca, Sanofi. Consultant; Abbott, AstraZeneca, Bayer Inc., Boehringer-Ingelheim, Dexcom, Inc., Eisai Inc., Eli Lilly and Company, Insulet Corporation, HLS Therapeutics Inc., Janssen Pharmaceuticals, Inc., Novo Nordisk, Sanofi, Takeda Pharmaceutical Company Limited. V. Fonseca: Consultant; Abbott, Bayer Inc. Stock/Shareholder; BRAVO4HEALTH, LLC. Consultant; Corcept Therapeutics. Speaker's Bureau; Eli Lilly and Company. Research Support; Fractyl Health, Inc. Consultant; Sun Pharmaceutical Industries Ltd. Stock/Shareholder; Amgen Inc. A. Tebaibia: None. I. Anaforoglu: None. Funding Sanofi
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».