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

Lancet Diabetes Endocrinol · 2024

Last updated 2026-05-28

A review of 246 clinical trials involving 139,566 participants found that most studies over-recruited White women aged 40 or older with mild to moderate obesity, while under-representing men, non-White individuals, older adults, and those with severe obesity (BMI 40 or higher). The trials included medications like liraglutide, semaglutide, and tirzepatide, but did not reflect the diversity of people affected by obesity.

AI summary of the abstract below.

JournalLancet Diabetes Endocrinol, 2024
Citations29
Relative citation ratio5.89
NIH percentile94
Molecules
Conditions studied Obesity

Abstract

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) and class 2 (35·0-39·9 kg/m) obesity; older participants, those with class 3 (≥40·0 kg/m) 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.

Verbatim abstract via PubMed 38723646 ↗