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Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem
by
Preti, Antonio
, Raballo, Andrea
, Poletti, Michele
in
Antipsychotics
/ Ascription
/ Clinical risk management
/ High risk
/ Medical prognosis
/ Mental health
/ Meta-analysis
/ Psychiatric services
/ Psychosis
/ Psychotropic drugs
/ Quantitative psychology
/ Risk management
/ Sample size
/ Sex ratio
/ Systematic review
/ Transformation
2020
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Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem
by
Preti, Antonio
, Raballo, Andrea
, Poletti, Michele
in
Antipsychotics
/ Ascription
/ Clinical risk management
/ High risk
/ Medical prognosis
/ Mental health
/ Meta-analysis
/ Psychiatric services
/ Psychosis
/ Psychotropic drugs
/ Quantitative psychology
/ Risk management
/ Sample size
/ Sex ratio
/ Systematic review
/ Transformation
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem
by
Preti, Antonio
, Raballo, Andrea
, Poletti, Michele
in
Antipsychotics
/ Ascription
/ Clinical risk management
/ High risk
/ Medical prognosis
/ Mental health
/ Meta-analysis
/ Psychiatric services
/ Psychosis
/ Psychotropic drugs
/ Quantitative psychology
/ Risk management
/ Sample size
/ Sex ratio
/ Systematic review
/ Transformation
2020
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Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem
Journal Article
Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem
2020
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Overview
The clinical high-risk (CHR) for psychosis paradigm is changing psychiatric practice. However, a widespread confounder, i.e. baseline exposure to antipsychotics (AP) in CHR samples, is systematically overlooked. Such exposure might mitigate the initial clinical presentation, increase the heterogeneity within CHR populations, and confound the evaluation of transition to psychosis at follow-up. This is the first meta-analysis examining the prevalence and the prognostic impact on transition to psychosis of ongoing AP treatment at baseline in CHR cohorts.
Major databases were searched for articles published until 20 April 2020. The variance-stabilizing Freeman-Tukey double arcsine transformation was used to estimate prevalence. The binary outcome of transition to psychosis by group was estimated with risk ratio (RR) and the inverse variance method was used for pooling.
Fourteen studies were eligible for qualitative synthesis, including 1588 CHR individuals. Out of the pooled CHR sample, 370 individuals (i.e. 23.3%) were already exposed to AP at the time of CHR status ascription. Transition toward full-blown psychosis at follow-up intervened in 112 (29%; 95% CI 24-34%) of the AP-exposed CHR as compared to 235 (16%; 14-19%) of the AP-naïve CHR participants. AP-exposed CHR had higher RR of transition to psychosis (RR = 1.47; 95% CI 1.18-1.83; z = 3.48; p = 0.0005), without influence by age, gender ratio, overall sample size, duration of the follow-up, or quality of the studies.
Baseline AP exposure in CHR samples is substantial and is associated with a higher imminent risk of transition to psychosis. Therefore, such exposure should be regarded as a non-negligible red flag for clinical risk management.
Publisher
Cambridge University Press
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