A85 PATTERN OF SEMAGLUTIDE PRESCRIPTION IN A REAL-WORLD PATIENT COHORT
Notice bibliographique
Résumé
Abstract Background The weight-loss effects of semaglutide has been studies in many randomized controlled trials. However, real-world data on its use is limited, particularly in the Canadian healthcare setting. Aims This study aims to explore the pattern of semaglutide prescription and associated outcomes in an academic family medicine practice in Canada. Methods We conducted a retrospective study of patients at the Sunnybrook Hospital family health team in Toronto, Ontario. Patients aged ≥18 years who were prescribed semaglutide between January 2018 and April 2024 were included. Baseline demographics and follow-up safety and efficacy measures were collected up to 16 months after semaglutide initiation. Results Of the 9930 rostered patients, 368 (3.71%) were prescribed semaglutide during the study period. The average age of patients who were prescribed semaglutide was 57.7±14.1 years and 63.3% were female. The average BMI was 36.6±7.84 kg/m2 and 189 patients (51.4%) had diabetes. The indication for semaglutide prescription was weight-loss for 206 patients (56.0%), diabetes for 118 patients (32.1%), and both weight-loss and diabetes for 39 patients (10.6%). We observed that since 2018, there has been a growing number of family physicians prescribing semaglutide compared to endocrinologists. In 2023 and 2024, over 80% of all semaglutide prescribers for our patients were family physicians, and endocrinologists were in the minority. Despite being prescribed semaglutide, 20 patients (5.4%) did not initiate the medication and 66 (17.9%) discontinued it within 16 months. Reasons for discontinuation included gastrointestinal adverse effects (26/66, 39.4%), difficulty in access (30/66, 54.5%), and perceived lack of response (6/66, 9.1%). Baseline and follow up weights were recorded for 211 patients (57.3%). Mean weight-loss was 7.36%. Mean weight-loss by 16 months was significantly greater in patients without diabetes (8.83% vs. 6.18%, p=0.003) and in females (8.30% vs. 5.90%, p=0.009), although there were more females without diabetes compared to males. The mean HbA1c at follow-up was 6.5±1.1%, which represents a significant reduction of 10.7% from baseline (p <0.001). Conclusions Our analysis of a real-world cohort of patients who used semaglutide demonstrated its wight-loss effects, particularly in those without diabetes. Understanding the demographics of patients using semaglutide and its potential effects will help inform future prescription practices. Funding Agencies None
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».