ArticleWellcome open research2025
Clinical trials in depression: Integrated collection across EU and US registries.
Article in Wellcome open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Clinical trials in depression: Integrated collection across EU and US registries.Wellcome open research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Identifiers
What OpenQuestion holds
Registered trials
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.