GALENOS approach to triangulating evidence (GATE): transforming the landscape of psychiatric research

Katharine A. Smith*, James Downs, Emma S. J. Robinson, Gin S. Malhi, Jennifer Potts, Thomy Tonia, Georgia Salanti, Andrea Cipriani

*Corresponding author for this work

Research output: Contribution to journalReview article (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

There is an urgent need for better evidence-based interventions in mental health. High-quality randomised controlled trials in humans are often lacking, especially when dealing with complex situations or novel therapeutic targets. Other potentially useful data may be available, such as from early-phase trials, observational or mechanistic studies or animal experiments. Triangulation offers an opportunity to consider a wider variety of evidence together to prioritise future research directions, and ultimately to inform clinical decisions. Here we describe GATE (the GALENOS Approach to Triangulating Evidence). This is the methodology of triangulation, co-produced with people with lived experience, and applied as an integral part of the GALENOS project (Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis; https://www.galenos.org.uk/). We outline the considerations of triangulation in psychiatry and our experience to date in assessing animal and human data together, using triangulation to prioritise future research directions. With GATE at its core, GALENOS not only enables novel insights to emerge, but points us towards a future of collaborative research better equipped to examine the most pressing questions in mental health.
Original languageEnglish
Number of pages6
JournalThe British Journal of Psychiatry
Early online date7 Nov 2025
DOIs
Publication statusE-pub ahead of print - 7 Nov 2025

Bibliographical note

Publisher Copyright:
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists.

Keywords

  • Living systematic review
  • triangulation
  • co-production
  • evidence synthesis
  • risk of bias

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