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May 9, 2026Wellcome Open Research0 citationsOpen Access

Clinical trials in depression: Integrated collection across EU and US registries

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KSKate StewartKing's College LondonLSLouise SchindlerKing's College LondonRBRobert BevanMedicines Discovery Catapult

Key Points

  • This research aims to create a comprehensive database of depression-related clinical trials to support pharmacogenetic studies.
  • Systematic extraction of data from ClinicalTrials.gov and EU Clinical Trials Register
  • Use of vector-based natural language processing to identify trials likely to include genetic information
  • Analysis of trial records on interventions, sample sizes, and other demographics
  • Identified 8,853 unique clinical trials from 1987 to 2024, with 3,659 involving drug interventions (41%)
  • SSRIs were the most commonly tested drug class, with 899 trials, and escitalopram being the most studied (322 trials)
  • Initial validation confirmed accuracy of vector scores in prioritizing trials with biological samples.

Abstract

Background Depression affects millions worldwide with both pharmacological and psychological therapies offering limited treatment success. In collaboration with Medicines Discovery Catapult (MDC), we developed a comprehensive database of depression-related clinical trials, including information on the availability of additional biological samples, to identify trials suitable for pharmacogenetic studies. Methods We systematically extracted structured and unstructured data from ClinicalTrials.gov (using the Aggregated Analysis of ClinicalTrials.gov (AACT) database) and the EU Clinical Trials Register. Summary data from clinical trial records and publications were extracted on interventions, conditions, drugs, sample sizes, trial phase, status, dates, demographics, and sponsors. To identify trials likely to include blood samples or genetic information, we applied a semantic similarity approach using vector-based natural language processing. This method scored trial records based on textual indicators, prioritising those most likely to contain genetic information. Results We identified 8,853 unique clinical trials registered between 1987 and 2024, with the majority (86%) from the AACT database. In total, 3,659 (41%) trials involved a drug intervention, of which 1,160 were testing antidepressants. Selective serotonin reuptake inhibitors (SSRIs) were the most commonly tested drug class (n = 899), with escitalopram the most frequently studied drug (n = 322). Other interventions included behavioural interventions and digital devices. SSRI trials peaked around 2009, while NMDA receptor antagonist trials (e.g., ketamine) increased post-2015. Sponsors included universities, healthcare organisations, and pharmaceutical companies. Vector scores prioritised trials likely to have biological samples or genetic data, and initial validation confirmed the accuracy of these indicators. Participant demographic data and final sample size were incomplete for many trials. Conclusion This comprehensive resource summarises the landscape of clinical trials in depression performed since 1987, enabling researchers to identify clinical trials with genetic samples to expand pharmacogenetic studies.

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Cite This Study

Stewart et al. (2026) studied this question.

synapsesocial.com/papers/69fed021b9154b0b82877185https://doi.org/10.12688/wellcomeopenres.25126.2
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Clinical trials in depression: Integrated collection across EU and US registries2025 · 2 citations
  2. 2Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis2018 · 3,568 citations
  3. 3Effect of a Primary Care–Based Psychological Intervention on Symptoms of Common Mental Disorders in Zimbabwe2016 · 499 citations
  4. 417. LANDSCAPE SURVEY OF 8853 CLINICAL TRIALS IN DEPRESSION TO IDENTIFY NEW TREATMENT RESPONSE PHARMACOGENETIC STUDIES2025 · 2 citations
  5. 5Clinical Trial Registration: A Statement from the International Committee of Medical Journal Editors2004 · 1,252 citations