Prescribing in this age group is expanding faster than the evidence supporting it. Not one trial below was designed for older adults. The efficacy and safety picture comes from pre-specified and post hoc age strata inside trials built for heart failure, cardiovascular events and glucose — and that picture is reassuring: benefit and tolerability hold up in the oldest participants enrolled. ⚠ But 'the oldest participants enrolled' is doing real work in that sentence. Trials recruit healthier older people than clinics treat, and the specific hazard clinicians raise is the one no cardiovascular trial measures: in someone already low on muscle, losing a quarter of their weight as lean tissue is a different event than it is at 45. That argument runs through the second half of this list, and it is an argument, not a finding — nobody has run the trial.
Ranked papers
#1STEP-HFpEF (age subgroup)
Pandey A, Moroney M, Verma S, et al. · Eur J Heart Fail · 2025
What it measured: Symptom scores, walking distance and weight, split by age band
The strongest age evidence available: a pre-specified pooled analysis of the two STEP-HFpEF trials, splitting 1,145 adults with obesity-related heart failure into under 65, 65 to 74, and 75 and over. Symptom scores, six-minute walk distance and weight improved consistently in all three bands, and the safety profile did not shift with age. ★ It is currently the only randomized evidence of this quality in people over 75, which is worth knowing given how often that group is the one in question.
PMID 41290376 ↗DOI 10.1002/ejhf.70049 ↗
#2SUSTAIN 6 + PIONEER 6 (age subgroup)
Bain SC, Belmar N, Hoff ST, et al. · Diabetes Ther · 2025
What it measured: Cardiac events, blood sugar, weight and side effects, split by age band
The two semaglutide cardiovascular safety trials — injectable and oral — pooled and re-cut by baseline age across 6,480 participants with type 2 diabetes. Cardiovascular event reduction, A1C change and weight loss ran broadly parallel across the age bands, with no excess adverse events in the oldest. ⚠ Post hoc rather than pre-specified, which is a weaker footing, but it remains the most careful age-stratified safety read in the cardiovascular literature for this drug.
PMID 39520501 ↗DOI 10.1007/s13300-024-01659-7 ↗
#3
Rego de Figueiredo I, Simas FS, Ghiletchi A, et al. · Obesity (Silver Spring) · 2026
What it measured: Weight, blood sugar and side effects pooled in adults 65 and over
A meta-analysis restricted to participants 65 and over, pooling randomized and observational studies to produce a single geriatric effect estimate. Weight and glucose effects came out comparable to general-adult trials, with one consistent difference: more people stopped because of gastrointestinal side effects. That gap matters clinically — the drug works as well and is tolerated less well, which is an argument for slower titration rather than for withholding it.
PMID 41640092 ↗DOI 10.1002/oby.70098 ↗
#4
Alexander GC, Xiao X, Dilek S, et al. · JAMA Intern Med · 2026
What it measured: Whether weight loss differs by age, sex, race or starting BMI
A systematic review asking whether these drugs work differently across demographic groups, age included. Relative weight loss was consistent across age bands, but absolute reductions were smaller in older participants — largely because they started lighter. ★ Worth understanding before reading a chart: 'less weight lost' and 'works less well' are different claims, and this analysis separates them.
PMID 41770554 ↗DOI 10.1001/jamainternmed.2025.8222 ↗
#5
Prokopidis K, Daly RM, Suetta C · J Nutr Health Aging · 2025
What it measured: A review of muscle-loss risk in older patients — not a trial
The clearest statement of the case for caution, drawing its body-composition numbers from the STEP, SURMOUNT and SUSTAIN trial programs and arguing that a lean-mass fraction of 25 to 40% means something different at 75 than at 45. Its point is not that the ratio is worse in older patients but that the reserve is smaller. It sets out who should be screened before starting and what to do about it — resistance training and protein intake — which is as far as the evidence currently supports going.
PMID 40819408 ↗DOI 10.1016/j.jnha.2025.100652 ↗
#6
Chen AS, Batsis JA · Diabetes · 2025
What it measured: A proposed approach to screening older patients before starting — not a trial
A perspective piece from a geriatric obesity-medicine researcher that does something the trial literature does not: propose an actual procedure. It suggests measuring grip strength and gait speed, and body composition where a scanner is available, before starting an incretin in someone over 65, and it frames the decision as a trade rather than a yes-or-no. ⚠ It is a proposal, not a validated protocol — no trial has tested whether screening this way improves outcomes.
PMID 40644314 ↗DOI 10.2337/dbi25-0004 ↗
#7
Scheen AJ · Diabetes Metab · 2026
What it measured: An argument about which populations face real muscle-loss risk — not a trial
A short editorial that names the three groups where lean-mass loss most plausibly crosses from a talking point into harm — the elderly, the frail, and anyone whose kidneys are already failing — and argues that body-composition measures should be standard endpoints in obesity drug development rather than optional substudies. It is opinion with no new data, and it has shaped how European guideline discussions frame the question.
PMID 41101588 ↗DOI 10.1016/j.diabet.2025.101708 ↗
#8
Moscucci F, Baratta F, Pastori D, et al. · Nutrients · 2026
What it measured: A review focused on older and postmenopausal women — not a trial
A review focused on postmenopausal and older women, who make up a disproportionate share of Medicare-age prescriptions and are underrepresented in the discussion. It covers how body composition responds differently by sex, how bone loss after estrogen decline interacts with weight loss, and a structured protein-and-training protocol intended to limit lean-mass loss. Narrative rather than systematic, and the most directly practical entry here for that patient.
PMID 41754149 ↗DOI 10.3390/nu18040632 ↗
#9
Toma L, Buckley K, Early N · Sr Care Pharm · 2026
What it measured: Case-based pharmacotherapy review
A pharmacist-authored case series working through the problems that actually arise in geriatric practice and appear in no trial: polypharmacy, declining kidney function, interactions with medications flagged as risky in older adults, and — the part usually missing — when to stop. Its discontinuation triggers, including unintended weight loss past a healthy point and progressing frailty, are the most concrete guidance on this page.
PMID 41966038 ↗DOI 10.4140/TCP.n.2026.78 ↗
#10SELECT (hospitalizations analysis)
Nicholls SJ, Ryan DH, Deanfield J, et al. · JAMA Cardiol · 2026
What it measured: All-cause and cause-specific hospitalizations
An exploratory analysis of SELECT counting hospitalizations rather than cardiac events across its 17,604 participants — all carrying obesity plus existing heart disease, roughly a third of them 65 or over. Semaglutide reduced all-cause admissions, with cardiovascular admissions the standout. ⚠ Exploratory, so treat it as a signal. It matters mostly because hospitalization is the endpoint payers and health systems price coverage against, which makes it a policy document as much as a clinical one.
PMID 41433034 ↗NCT03574597 ↗DOI 10.1001/jamacardio.2025.4824 ↗
About this list
We curate ranked, citation-anchored PubMed paper lists for the most-searched questions in obesity medicine. Every citation on this page was checked against PubMed on 2026-08-16. Each paper card links directly to PubMed and to ClinicalTrials.gov where applicable.
Browse our full index of research lists or our long-form research articles.