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Reporting and representation of race/ethnicity in 1683 RCTs of pharmacotherapy for mental disorders: a meta-analysis

Reporting and representation of race/ethnicity in 1683 RCTs of pharmacotherapy for mental disorders: a meta-analysis
Reporting and representation of race/ethnicity in 1683 RCTs of pharmacotherapy for mental disorders: a meta-analysis
Importance: representation of race and ethnicity in randomised controlled trials (RCTs) is critical for understanding treatment efficacy across populations with different racial/ethnic backgrounds.

Objective: we conducted the first comprehensive overview of reviews of race and ethnicity representation and reporting across RCTs of pharmacotherapies for mental disorders.
Data sources: PubMed/Medline/Ovid-Embase/APA-PsycINFO/Web-of-Science were searched (March-01-2024), to retrieve the most updated and largest network meta-analyses (NMA) of RCTs of pharmacotherapies for ICD-10 mental disorders.
Study selection: From each NMA, we identified single-blind or double blind RCTs, quasi-RCTs, open label RCTs, and discontinuation/withdrawal design RCTs, recruiting people of any age with a diagnosis of mental disorder and testing the efficacy of any pharmacological intervention compared to any control arm.
Data Extraction and Synthesis: We used random-effects logit-transformed-proportion meta-analyses to: 1) estimate prevalence rates of race and ethnicity groups and their temporal trends across RCTs, and 2) compare US-RCT prevalence rates with US census data.

Main outcome measures: reporting of data on race and ethnicity, and percentage of Asian, Black, Hispanic, Other/Multi-racial/Multi-ethnic, and White. Hispanic and White were operationalised as “White-including-Hispanic" and "Hispanic-among-White" to fit the categories used in the included RCTs. We also considered: year of publication, type of RCT, continent, age group, and sample size.

Results: we included 1683 RCTs (375,120 participants, 91.7% adults; USA=680, Europe=404, multiple continents=216). Race and ethnicity were reported in 39% of RCTs, reporting was the highest in USA-based RCTs (58.68%) and the lowest in Central and South America (8.70%) and Asia/Middle East (12.43%). 80.2% of participants [95% confidence interval=78.8-81.5] self-reported as White-including-Hispanic (of which 11.0% [9.1-13.3] as Hispanic-among-White), 9.0% [8.1-10.0] as Black, 5.8% [5.2-6.4] as Other/Mixed Ethnicity, and 2.7% [2.1-3.5] as Asian. We found better reporting of race and ethnicity in US-RCTs over time (log odds increase=0.066); and smaller improvement in non-US-RCTs (log odds increase=0.023). Larger RCTs were more likely to report race and ethnicity, albeit not in all continents. “Other/Mixed Ethnicity” was historically over-represented in US-RCTs, while “Black”, “Hispanic-among-White” and “Asian” were under-represented, with the latter two still currently under-represented.

Conclusions and relevance: differences in reporting race and ethnicity across countries and under-representation of certain racial/ethnic groups in US-based RCTs highlight the need for international guidelines to ensure equitable recruitment in clinical trials.
race, ethnicity, reporting, representation, RCT, trials, clinical, mental health, psychiatry, pharmacotherapy, medication, meta-analysis
2168-6238
Bellato, Alessio
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Radua, Joaquim
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Stocker, Antoine
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Lockman, Maude-Sophie
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Lall, Anusha
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Ravisankar, Vishnie
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Obiokafor, Sonia
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Machell, Emma
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Haq, Sahar
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Albiaa, Dalia
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Cabras, Anna
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Teixeira Leffa, Douglas
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Manuel, Catarina
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Parlatini, Valeria
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Riccioni, Assia
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Correll, Christoph U.
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Fusar-Poli, Paolo
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Solmi, Marco
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Cortese, Samuele
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Bellato, Alessio
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Radua, Joaquim
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Stocker, Antoine
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Lockman, Maude-Sophie
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Lall, Anusha
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Ravisankar, Vishnie
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Obiokafor, Sonia
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Machell, Emma
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Haq, Sahar
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Albiaa, Dalia
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Cabras, Anna
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Teixeira Leffa, Douglas
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Manuel, Catarina
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Parlatini, Valeria
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Riccioni, Assia
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Correll, Christoph U.
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Fusar-Poli, Paolo
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Solmi, Marco
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Cortese, Samuele
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Bellato, Alessio, Radua, Joaquim, Stocker, Antoine, Lockman, Maude-Sophie, Lall, Anusha, Ravisankar, Vishnie, Obiokafor, Sonia, Machell, Emma, Haq, Sahar, Albiaa, Dalia, Cabras, Anna, Teixeira Leffa, Douglas, Manuel, Catarina, Parlatini, Valeria, Riccioni, Assia, Correll, Christoph U., Fusar-Poli, Paolo, Solmi, Marco and Cortese, Samuele (2025) Reporting and representation of race/ethnicity in 1683 RCTs of pharmacotherapy for mental disorders: a meta-analysis. JAMA Psychiatry. (doi:10.1001/jamapsychiatry.2025.0666).

Record type: Article

Abstract

Importance: representation of race and ethnicity in randomised controlled trials (RCTs) is critical for understanding treatment efficacy across populations with different racial/ethnic backgrounds.

Objective: we conducted the first comprehensive overview of reviews of race and ethnicity representation and reporting across RCTs of pharmacotherapies for mental disorders.
Data sources: PubMed/Medline/Ovid-Embase/APA-PsycINFO/Web-of-Science were searched (March-01-2024), to retrieve the most updated and largest network meta-analyses (NMA) of RCTs of pharmacotherapies for ICD-10 mental disorders.
Study selection: From each NMA, we identified single-blind or double blind RCTs, quasi-RCTs, open label RCTs, and discontinuation/withdrawal design RCTs, recruiting people of any age with a diagnosis of mental disorder and testing the efficacy of any pharmacological intervention compared to any control arm.
Data Extraction and Synthesis: We used random-effects logit-transformed-proportion meta-analyses to: 1) estimate prevalence rates of race and ethnicity groups and their temporal trends across RCTs, and 2) compare US-RCT prevalence rates with US census data.

Main outcome measures: reporting of data on race and ethnicity, and percentage of Asian, Black, Hispanic, Other/Multi-racial/Multi-ethnic, and White. Hispanic and White were operationalised as “White-including-Hispanic" and "Hispanic-among-White" to fit the categories used in the included RCTs. We also considered: year of publication, type of RCT, continent, age group, and sample size.

Results: we included 1683 RCTs (375,120 participants, 91.7% adults; USA=680, Europe=404, multiple continents=216). Race and ethnicity were reported in 39% of RCTs, reporting was the highest in USA-based RCTs (58.68%) and the lowest in Central and South America (8.70%) and Asia/Middle East (12.43%). 80.2% of participants [95% confidence interval=78.8-81.5] self-reported as White-including-Hispanic (of which 11.0% [9.1-13.3] as Hispanic-among-White), 9.0% [8.1-10.0] as Black, 5.8% [5.2-6.4] as Other/Mixed Ethnicity, and 2.7% [2.1-3.5] as Asian. We found better reporting of race and ethnicity in US-RCTs over time (log odds increase=0.066); and smaller improvement in non-US-RCTs (log odds increase=0.023). Larger RCTs were more likely to report race and ethnicity, albeit not in all continents. “Other/Mixed Ethnicity” was historically over-represented in US-RCTs, while “Black”, “Hispanic-among-White” and “Asian” were under-represented, with the latter two still currently under-represented.

Conclusions and relevance: differences in reporting race and ethnicity across countries and under-representation of certain racial/ethnic groups in US-based RCTs highlight the need for international guidelines to ensure equitable recruitment in clinical trials.

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Accepted/In Press date: 19 February 2025
e-pub ahead of print date: 7 May 2025
Published date: 1 July 2025
Keywords: race, ethnicity, reporting, representation, RCT, trials, clinical, mental health, psychiatry, pharmacotherapy, medication, meta-analysis

Identifiers

Local EPrints ID: 500656
URI: http://eprints.soton.ac.uk/id/eprint/500656
ISSN: 2168-6238
PURE UUID: cd8fed18-e8bb-42f6-96a7-99f3694e6631
ORCID for Alessio Bellato: ORCID iD orcid.org/0000-0001-5330-6773
ORCID for Valeria Parlatini: ORCID iD orcid.org/0000-0002-4754-2494
ORCID for Samuele Cortese: ORCID iD orcid.org/0000-0001-5877-8075

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Date deposited: 08 May 2025 16:43
Last modified: 03 Sep 2025 02:11

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Contributors

Author: Alessio Bellato ORCID iD
Author: Joaquim Radua
Author: Antoine Stocker
Author: Maude-Sophie Lockman
Author: Anusha Lall
Author: Vishnie Ravisankar
Author: Sonia Obiokafor
Author: Emma Machell
Author: Sahar Haq
Author: Dalia Albiaa
Author: Anna Cabras
Author: Douglas Teixeira Leffa
Author: Catarina Manuel
Author: Valeria Parlatini ORCID iD
Author: Assia Riccioni
Author: Christoph U. Correll
Author: Paolo Fusar-Poli
Author: Marco Solmi
Author: Samuele Cortese ORCID iD

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