Was ist tatsächlich über den weiblichen Körper nach vierzig bewiesen

Gewichtsverlust und GLP-1

Sex, race, and BMI in clinical trials of medications for obesity over the past three decades: a systematic review.

5 Wiederholte Evidenz

Wie schwer dies wiegt: mehrere Studien an Menschen, kombiniert — die stärkste verfügbare Evidenz.
Art der Studie
Metaanalyse oder systematischer Review
Untersucht bei
Menschen
Teilnehmer
566
Veröffentlicht
2024 in The lancet. Diabetes & endocrinology
Zitiert
22 mal von anderen Forschungen zitiert
Wer bezahlte
Ein Hersteller trug zur Finanzierung dieser Forschung bei.
Quelle
PubMed 38723646 · doi 10.1016/S2213-8587(24)00098-6
Die verständliche Zusammenfassung dieser Studie wird noch verfasst. Nachstehend finden Sie das Abstract genau wie von den Forschern veröffentlicht.
Abstract der Forscher — Originaltext

Medications for obesity have been studied in various populations over the past three decades. We aimed to quantify the baseline demographic characteristics of BMI, sex, age, and race in randomised clinical trials (RCTs) across three decades to establish whether the population studied is representative of the global population affected by the disease. Clinical trials of 12 medications for obesity (ie, orlistat, naltrexone-bupropion, topiramate-phentermine, liraglutide, semaglutide, lorcaserin, sibutramine, rimonabant, taranabant, tirzepatide, retatrutide, and orforglipron) published from Jan 20, 1999, to Nov 12, 2023, were assessed through a systematic review for methodological quality and baseline demographic characteristics. 246 RCTs were included, involving 139 566 participants with or without type 2 diabetes. Most trials over-recruited White, female participants aged 40 years or older with class 1 (30·0-34·9 kg/m 2 ) and class 2 (35·0-39·9 kg/m 2 ) obesity; older participants, those with class 3 (≥40·0 kg/m 2 ) obesity, non-White participants, and male participants were under-recruited. Our systematic review suggests that future trials need to recruit traditionally under-represented populations to allow for accurate measures of efficacy of medications for obesity, enabling more informed decisions by clinicians. It is also hoped that these data will help to refine trial recruitment strategies to ensure that future studies are relevant to the population affected by obesity.