Back

Paediatric traumatic brain injury as a risk factor for psychosis and psychotic symptoms: a systematic review and meta-analysis

Yau, K.-C.; Revill, G.; Blackman, G.; Shaikh, M.; Bell, V.

2023-04-06 psychiatry and clinical psychology
10.1101/2023.02.17.23286118 medRxiv
Show abstract

BackgroundPsychosis is one of the most disabling psychiatric disorders. Paediatric traumatic brain injury (pTBI) has been cited as a developmental risk factor for psychosis, however this association has never been assessed meta-analytically. MethodsA systematic review and meta-analysis of the association between pTBI and subsequent psychotic disorders/symptoms was performed. The study was pre-registered (CRD42022360772) adopting a random-effects model to estimate meta-analytic odds ratio (OR) and 95% confidence interval (CI) using the Paule-Mandel estimator. Subgroup (study location, study design, psychotic disorder vs subthreshold symptoms, assessment type, and adult vs adolescent onset) and meta-regression (quality of evidence) analyses were also performed. The robustness of findings was assessed through sensitivity analyses. The meta-analysis is available online as a computational notebook with an open dataset. ResultsWe identified 10 relevant studies and eight were included in the meta-analysis. Based on a pooled sample size of 479,686, the pooled OR for the association between pTBI and psychosis outcomes was 1.80 (95% CI [1.11, 2.95]). There were no subgroup effects and no outliers. Both psychotic disorder and subthreshold symptoms were associated with pTBI. The overall association remained robust after removal of low-quality studies, however the OR reduced to 1.43 (95% CI [1.04, 1.98]). A leave-one-out sensitivity analysis showed the association was robust to removal of all but one study which changed the estimate to marginally non-significant. ConclusionsWe report cautious meta-analytic evidence for a positive association between pTBI and future psychosis. New evidence will be key in determining long-term reliability of this finding.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.