American pride and patriotism

(Photo by William Perugini on Shutterstock)

The melting pot of America apparently doesn’t include medicine

In A Nutshell

  • Only 6% of trials enrolled participants whose racial and ethnic makeup matched the U.S. population. The remaining 94% underrepresented at least one major demographic group, limiting detection of genetic variants that affect drug response differently across populations.
  • Black and Hispanic representation is declining, not improving. Black participant enrollment peaked in 2019 and has dropped since, while Hispanic enrollment fell steadily from 2017-2023. Asian representation increased and White enrollment remained stable during this period.
  • Trial location determines who gets studied. U.S.-based trials averaged 17.7% Black enrollment, exceeding the 13.7% Census proportion. As pharmaceutical companies shifted trials overseas, Black representation plummeted while Asian representation increased.
  • Regulatory fast-tracking shows diversity can improve. Trials with Breakthrough Therapy designation—which expedites drugs for serious conditions—showed more balanced enrollment across racial and ethnic groups, suggesting earlier FDA engagement during trial design promotes better demographic planning.

The future of medicine is supposed to be personal, but drug trial research suggests modern medicine has a lot of catching up to do in terms of American diversity. The clinical trials testing today’s breakthrough drugs still operate like it’s 1950.

Doctors increasingly talk about treatments tailored to individual genetics, medications calibrated to specific biology, and therapies designed around unique patient profiles. Unfortunately that doesn’t appear to be the reality (at least yet) for the majority of Americans.

A sweeping analysis of 341 pivotal clinical trials between 2017 and 2023 reveals that only 6% enrolled participants whose racial and ethnic makeup matched America’s population. This gap strikes at the heart of precision medicine’s core promise. When trials systematically exclude Black and Hispanic Americans, the genetic variants that affect how their bodies process medications never get studied, limiting the effectiveness of personalized treatments.

Sophie Zaaijer and Simon C. Groen analyzed data from the FDA’s Drug Trial Snapshots Program, tracking every Phase III trial that led to drug approval during this seven-year period. Their findings expose a contradiction: Medicine claims to be advancing toward individualized care while building that future on research that ignores millions of people who will need those treatments.

When Genetics Get Left Behind

Precision medicine depends on understanding how genetic differences influence drug response. Many genetic variants occur across all populations but at wildly different frequencies, making diverse trial enrollment essential for detecting these variations.

Take genes in the cytochrome P450 family, which help the body break down 60-80% of prescription drugs. One variant in a gene called CYP3A4 appears in 76.5% of people with African ancestry but only 2.78% of those with European ancestry. People carrying two copies of this variant metabolize certain drugs more slowly, reducing active compound levels in their bloodstream.

Research on breast cancer patients treated with cyclophosphamide shows how this genetic difference determines survival. Women with this variant show lower survival rates at standard doses because the drug doesn’t reach therapeutic levels. Trials dominated by White participants would completely miss this life-threatening pattern, leaving Black women at higher risk when the medication reaches the market.

The same principle applies across countless medications. Genes affecting drug metabolism, efficacy, and side effects vary in frequency across ancestral groups. Without representative trial cohorts, these variations remain invisible until patients start experiencing unexpected reactions or treatment failures.

Opioid crisis in the United States of America
Pharmaceutical companies started announcing diversity commitments in 2020. (© Victor Moussa – stock.adobe.com)

Representation Is Getting Worse, Not Better

The study, published in Communications Medicine, uncovered troubling trends over time. Black participant representation peaked in 2019 but has declined since. Hispanic enrollment dropped steadily from 2017 through 2023, with a sharp decrease in 2020. Meanwhile, Asian representation increased and White enrollment remained stable.

Just 23% of trials in 2023 adequately represented Black participants. Only 30% properly enrolled Hispanic individuals. Asian participants appeared in appropriate numbers in 81% of trials, largely because pharmaceutical companies increasingly conduct research in Asian countries rather than demographic planning.

Looking at all 341 trials, only 20 represented all four major demographic groups according to their proportions in the US population. Another 89 trials represented three groups appropriately, 141 represented two groups, and 89 included adequate representation of just a single group. Two trials represented none of the groups according to FDA guidelines.

Geography Determines Who Gets Studied

Trial location emerged as the strongest predictor of participant diversity. Studies conducted entirely in the United States averaged 17.7% Black enrollment, a figure that actually exceeds the 13.7% proportion of Black individuals in the US population according to Census data. As trials moved overseas, Black representation dropped sharply.

The proportion of US-based trial participants climbed from 33% in 2017 to 47% in 2020, coinciding with improved Black representation. By 2023, however, that figure had dropped to 25%, tracking alongside the observed decline in Black enrollment.

Asian participation followed the opposite pattern. US-based trials averaged just 2.3% Asian enrollment, while international trials showed substantially higher numbers. This geographic divide reflects pharmaceutical companies’ strategic decisions about where to locate trial sites, which prioritize regulatory convenience and operational efficiency over demographic considerations.

China’s entry into the International Council for Harmonization—a regulatory body that sets global standards for drug trials—accelerated this shift in 2017. By 2023, China had doubled its share of global clinical trial activity, becoming a major research hub. This expansion improved Asian representation in aggregate trial data while simultaneously reducing opportunities for Black American enrollment.

The Regulatory Factor

Drug designation influenced representation patterns. Trials for Orphan drugs, which treat rare diseases affecting fewer than 65 per 100,000 people, showed consistently lower enrollment of Black and Hispanic participants compared to Non-Orphan drugs. These trials also conducted less research in the US.

Breakthrough Therapy designation produced notably different results. This expedited pathway applies to drugs treating serious conditions with preliminary evidence of substantial benefit. It led to more balanced enrollment across racial and ethnic groups. Underrepresentation of Black individuals dropped from 78.4% in Orphan drug trials to 63% when Breakthrough designation was added.

Trials with Breakthrough status also showed more consistent US-based participation, typically ranging from 20-40% rather than the all-or-nothing pattern seen elsewhere. This improvement likely stems from earlier FDA engagement during trial design, prompting sponsors to consider diversity from the outset rather than as a late addition.

About 72% of all trials received either Orphan or Priority designation, while 29% received Breakthrough status. Priority Review accelerates regulatory evaluation without influencing trial design and showed lower Black recruitment compared to drugs reviewed on standard timelines.

Disease Categories Show Stark Disparities

What condition a drug treats dramatically affects who enrolls in its trials. Psychiatric disorder trials achieved 38% Black enrollment with 89% of trial sites based in the US. Pain management trials reached 17% Black participation and were entirely US-based.

Cancer trials told a different story. Despite Black Americans experiencing the highest cancer mortality rates among racial groups, cancer drug trials averaged just 4% Black enrollment across 100 trials. Dermatology and endocrinology trials showed similarly low numbers.

Asian participants found highest representation in trials for autoimmune diseases, kidney diseases, and cancer treatments. Hispanic individuals appeared most frequently in trials for gastrointestinal disorders, reproductive health, and dermatology.

Infectious disease trials provided an exception to geographic patterns, enrolling 18% Black and 20% Hispanic participants despite only 35% US-based sites. This reflects the global distribution of infectious diseases like parasitic infections, which occur more frequently in Africa and Latin America.

Only 23% of drug trials in 2023 properly represented Black participants. (Credit: Lightspring on Shutterstock)

The Path Forward

Pharmaceutical companies announced diversity commitments starting in 2020, evidenced by public Diversity, Equity, and Inclusion statements. That same year, the FDA released draft guidance on Diversity Action Plans, recommending sponsors submit these plans between filing an Investigational New Drug application and starting Phase III trials.

The guidance wasn’t mandatory, yet 91 sponsors voluntarily submitted plans during 2020-2021, with 84% coming from oncology divisions. Whether these initiatives translate into improved enrollment remains unclear. Drugs approved in 2023 reflect trials that may have begun in 2015, before these diversity efforts launched.

Reporting transparency has improved substantially. Between 96-100% of trials now document enrollment of White, Black, and Asian participants, while 90% report Hispanic enrollment. Actually achieving representative numbers, however, remains elusive.

Self-reported race and ethnicity create additional challenges. Trial participants select their demographic categories from predefined options rather than providing genetic verification. These labels serve as imperfect proxies for genetic ancestry, failing to capture important within-group variation. “Asian” encompasses dramatically different populations from East Asia versus South Asia. “Black” in the US may represent different ancestral backgrounds than in other countries.

Future trial design may eventually shift from self-reported demographics to biomarker-driven stratification based on specific genetic variants. This approach would bypass race and ethnicity as proxies, directly targeting the genetic differences that affect drug response. Until universal genomic profiling becomes standard practice, representative enrollment based on demographic categories offers the most practical path toward accounting for population-level genetic variation.

Precision medicine promises to deliver the right treatment to the right patient at the right time. That promise falters when the foundational research excludes the genetic diversity that makes precision necessary. Without fixing clinical trial enrollment, personalized medicine becomes personal only for those who happened to be included in the testing.


Paper Notes

Limitations

The analysis covered only Phase III trials leading to FDA approval, excluding failed trials where demographic patterns might differ. Participants self-reported race and ethnicity without genetic verification, creating imprecision in ancestry classifications that don’t capture within-group variation. The FDA’s categories excluded American Indian, Alaska Native, and Native Hawaiian populations due to consistently low enrollment preventing statistical analysis. Some data gaps existed, including missing US trial site proportions for 2021-2022 and individual trial sizes only reported from 2022 onward. The study couldn’t assess whether clinically relevant genetic variants were actually tested in these trials. Data on failed trials and their demographic composition aren’t typically released, limiting understanding of how representation affects trial success. Disease classifications for 27% of approved drugs required supplementation using artificial intelligence tools, validated at 98% accuracy against available FDA annotations.

Funding and Disclosures

This work was supported by University of California Riverside start-up funds awarded to Simon C. Groen. The authors declare no competing interests.

Publication Details

Authors: Sophie Zaaijer (Division of Hematology and Oncology, Department of Medicine, University of California Irvine School of Medicine; Cornell Tech, New York, NY) and Simon C. Groen (Institute for Integrative Genome Biology, Department of Nematology, University of California Riverside). Published in Communications Medicine, Volume 5, Article 514 (2025). DOI: https://doi.org/10.1038/s43856-025-01270-2

About StudyFinds Analysis

Called "brilliant," "fantastic," and "spot on" by scientists and researchers, our acclaimed StudyFinds Analysis articles are created using an exclusive AI-based model with complete human oversight by the StudyFinds Editorial Team. For these articles, we use an unparalleled LLM process across multiple systems to analyze entire journal papers, extract data, and create accurate, accessible content. Our writing and editing team proofreads and polishes each and every article before publishing. With recent studies showing that artificial intelligence can interpret scientific research as well as (or even better) than field experts and specialists, StudyFinds was among the earliest to adopt and test this technology before approving its widespread use on our site. We stand by our practice and continuously update our processes to ensure the very highest level of accuracy. Read our AI Policy (link below) for more information.

Our Editorial Process

StudyFinds publishes digestible, agenda-free, transparent research summaries that are intended to inform the reader as well as stir civil, educated debate. We do not agree nor disagree with any of the studies we post, rather, we encourage our readers to debate the veracity of the findings themselves. All articles published on StudyFinds are vetted by our editors prior to publication and include links back to the source or corresponding journal article, if possible.

Our Editorial Team

Steve Fink

Editor-in-Chief

John Anderer

Associate Editor

Leave a Comment

3 Comments

  1. Frank says:

    Six years ago my wife and I volunteered for the Pfizer Covid-19 vaccine study. In the hope of getting enough black volunteers, the study was done in the majority-black city where we live.

    At some point, they stopped accepting white volunteers, because they already had enough, but were still open for more black volunteers. I presume they got some, but I don’t know whether they ever got as many as they wanted.

    I was told is that African Americans are leery of participation due the past mistreatment, such as the Tuskegee Syphilis study back in 1932.

    1. Kim says:

      There is a mistrust with most people of colour, African origin because of exactly what has happened in the past. It’s catch 22 – there is equally a mistrust because of the lack of drug testing on African origin. The medical profession has to find someway where they can instill trust to the community as like anyone in this world African origin deserves to be included properly in all drug testing. There is too much racial bias across the medical infrastructure and not just due to drug but to machinery testing, inbuilt biases, bias expectations. Everything design to help a person’s health should not be looking at people as one collective when it comes to genes but should be looking demographically. Why in such a future world when it comes to AI, medical break throughs etc when it comes to African origin the infrastructure those in charge that can make a difference are still backwards! That is definitely something to think about why in this day and age!!

  2. Robert P. Ryan MD says:

    This article only gets to the real problem in the last paragraph. Until each and every individual has their genome mapped (universal genome mapping) designing and testing theraputic medications is like trying to kill mosquitos with a shotgun. I am a caucasian American of European ancestry. But I discovered that I have a cytochrome P450 enzyme deficiency that causes several medications at “normal” dosages to nearly kill me. If I were not a physician who was able to figure this out, I would already have died on any one of several occasions. I am just the tip of a very large iceberg. Everyone needs to have, at the very least, that portion of their genome mapped that controls the cytochrome P450 enzyme system. And to correct a small mistake in the article above, the cytochrome P450 system actually metabolizes more tha 80% of all medications.