Evidence map›Paper›PMID 36978166›Full record

SynthesisBMC medicine2023

Ethnic minority representation in UK COVID-19 trials: systematic review and meta-analysis.

Mayur Murali, Leher Gumber, Hannah Jethwa, Divolka Ganesh, Jamie Hartmann-Boyce, Harpreet Sood, Francesco Zaccardi, Kamlesh Khunti

Full text readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Long COVID Optimal Health Programme to Enhance Mental and Physical Health: A Feasibility Randomised Controlled Trial.Health expectations : an international journal of public participation in health care and health policy · 2025
    Trial
  4. Article
  5. Article
  6. Article
  7. Co-Creating Publicly Available Resources to Increase Awareness of and Support for Long Covid Among Ethnic Minority Communities.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Intersectionality and Long Covid: Understanding the Lived Experiences of Ethnic Minority Groups in the United Kingdom.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  13. Challenges of Inclusion: A Population-Based Interview Study of Long Covid.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mayur MuraliDivision of Anaesthetics, Pain Medicine & Intensive Care, Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London, UK. mayur.murali@gmail.com.ORCID http://orcid.org/0000-0002-2340-7810
Leher GumberNorthumbria Healthcare NHS Foundation Trust, Northumberland, UK.
Hannah JethwaLondon North West University Healthcare NHS Trust, London, UK.
Divolka GaneshLeeds Teaching Hospitals Trust, West Yorkshire, UK.
Jamie Hartmann-BoyceNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Harpreet SoodHealth Education England, London, UK.
Francesco ZaccardiDiabetes Research Centre, University of Leicester, Leicester, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has highlighted health disparities affecting ethnic minority communities. There is growing concern about the lack of diversity in clinical trials. This study aimed to assess the representation of ethnic groups in UK-based COVID-19 randomised controlled trials (RCTs).

methodsA systematic review and meta-analysis were undertaken. A search strategy was developed for MEDLINE (Ovid) and Google Scholar (1st January 2020-4th May 2022). Prospective COVID-19 RCTs for vaccines or therapeutics that reported UK data separately with a minimum of 50 participants were eligible. Search results were independently screened, and data extracted into proforma. Percentage of ethnic groups at all trial stages was mapped against Office of National Statistics (ONS) statistics. Post hoc DerSimonian-Laird random-effects meta-analysis of percentages and a meta-regression assessing recruitment over time were conducted. Due to the nature of the review question, risk of bias was not assessed. Data analysis was conducted in Stata v17.0. A protocol was registered (PROSPERO CRD42021244185).

resultsIn total, 5319 articles were identified; 30 studies were included, with 118,912 participants. Enrolment to trials was the only stage consistently reported (17 trials). Meta-analysis showed significant heterogeneity across studies, in relation to census-expected proportions at study enrolment. All ethnic groups, apart from Other (1.7% [95% CI 1.1-2.8%] vs ONS 1%) were represented to a lesser extent than ONS statistics, most marked in Black (1% [0.6-1.5%] vs 3.3%) and Asian (5.8% [4.4-7.6%] vs 7.5%) groups, but also apparent in White (84.8% [81.6-87.5%] vs 86%) and Mixed 1.6% [1.2-2.1%] vs 2.2%) groups. Meta-regression showed recruitment of Black participants increased over time (p = 0.009).

conclusionsAsian, Black and Mixed ethnic groups are under-represented or incorrectly classified in UK COVID-19 RCTs. Reporting by ethnicity lacks consistency and transparency. Under-representation in clinical trials occurs at multiple levels and requires complex solutions, which should be considered throughout trial conduct. These findings may not apply outside of the UK setting.

Indexed as

COVID-19BiasEthnic and Racial MinoritiesEthnicityHumansRandomized Controlled Trials as TopicUnited KingdomClinical trialsCOVID-19EthnicityMedical research

Identifiers

PMID36978166
PMCPMC10049782

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read83
Read underepoch 390

Registered trials

None linked

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.