Methodological Concerns in Spittal et al.’s Meta-Analysis of Machine Learning Algorithms for Suicide Risk
Abstract
We raise methodological concerns regarding Spittal et al.'s systematic review and meta-analysis of machine learning algorithms for predicting suicidal behaviours (PLoS Medicine, 2025). Key issues include the absence of calibration assessment, reliance on diagnostic rather than prognostic frameworks, and use of QUADAS instead of PROBAST.
Fields of Study & Subjects
Suicide and Self-Harm Studies
Mental Health via Writing
Meta-analysis and systematic reviews
Publication details
- Publisher
- Center for Open Science
- Publication date
- 22 January 2026
- Document type
- Preprint