Sensitivity of the clinical high-risk and familial high-risk approaches for psychotic disorders - a systematic review and meta-analysis

Animesh Talukder, Ioanna Kougianou, Colm Healy, Ulla Lång, Valentina Kieseppä, Maria Jalbrzikowski, Kirstie O'Hare, Ian Kelleher*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

BACKGROUND: Psychosis prediction has been a key focus of psychiatry research for over 20 years. The two dominant approaches to identifying psychosis risk have been the clinical high-risk (CHR) and the familial high-risk (FHR) approaches. To date, the real-world sensitivity of these approaches - that is, the proportion of all future psychotic disorders in the population that they identify - has not been systematically reviewed.

METHODS: We systematically reviewed and meta-analysed studies in MEDLINE, Embase, PsychINFO, and Web of Science (from inception until September 2024) that reported data on the sensitivity of CHR and FHR approaches - i.e., individuals with a psychosis diagnosis preceded by a CHR diagnosis or a history of parental psychosis (PROSPERO: CRD42024542268).

RESULTS: We identified four CHR studies and four FHR studies reporting relevant data. The pooled estimate of the sensitivity of the CHR approach was 6.7% (95% CI: 1.5-15.0%) and of the FHR approach was 6.5% (95% CI: 4.4-8.9%). There was a high level of heterogeneity between studies. Most FHR studies had a low risk of bias, but most CHR studies had a high risk of bias.

CONCLUSION: Pooled data suggest that CHR and FHR approaches, each, capture only about 6-7% of future psychotic disorders. These findings demonstrate the need for additional approaches to identify risk for psychosis.

Original languageEnglish
Pages (from-to)e46
JournalPsychological Medicine
Volume55
Early online date12 Feb 2025
DOIs
Publication statusE-pub ahead of print - 12 Feb 2025

Keywords / Materials (for Non-textual outputs)

  • Humans
  • Psychotic Disorders/genetics
  • Risk Assessment
  • Risk Factors
  • Sensitivity and Specificity
  • Genetic Predisposition to Disease

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