Evidence map›Paper›PMID 41622752›Full record

ArticleClinical pharmacology and therapeutics2026

Quantification of Age and Sex Ratio Differences between Trial and Target Population for New Drugs.

Miquel Serra-Burriel, Paul Schlossmacher, Kerstin Noelle Vokinger

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Miquel Serra-BurrielEpidemiology, Biostatistics, and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-8595-1224
Paul SchlossmacherAcademic Chair for Regulation in Law, Medicine and Technology, University of Zurich, Faculty of Law, Zurich, Switzerland.
Kerstin Noelle VokingerAcademic Chair for Regulation in Law, Medicine and Technology, University of Zurich, Faculty of Law, Zurich, Switzerland.ORCID 0000-0002-6997-7384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical trials are essential to understand the benefit-harm profile of new drugs. Lack of adequate representation in age and sex ratio in clinical trials can result, for example, in higher side effects for underrepresented patients. We quantified differences in age and sex ratios between trial and target populations of new drugs approved by the FDA 2011-2022. We used the FDA's database to identify all new drugs and pivotal randomized trials. Information for average age and sex ratio was obtained from clinicaltrials.gov. Each trial's indication was matched with prevalence estimates of the targeted diseases from the global burden of disease study. A total of 458 drugs (773 trials) were included. The trial populations were significantly younger, on average 4.8 years (95% CI [5.4 years, 4.2 years]), and the female ratio significantly smaller, on average 4.3 percentage points (95% CI [5.4 pp, 3.3 pp]), than the target populations. For diseases with average patient age below 40, the trial population was significantly older than the target population but significantly younger 40 years and older. For diseases with average age between 30 and 39, the female ratio in the trial population was significantly higher than in the target population but significantly lower 50 and older. Better age and sex ratio representation in the trial population is indicated to improve safety and efficacy for patients. Trials targeting diseases below 40 should enroll younger participants and increase their male ratio, while the opposite is true for trials targeting diseases with an older age.

Indexed as

Patient SelectionRandomized Controlled Trials as TopicSex RatioAdultAge FactorsDatabases, FactualFemaleHumansMaleMiddle AgedSex FactorsUnited StatesUnited States Food and Drug Administration

Identifiers

PMID41622752
PMCPMC12997502

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.