Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis

Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis

Background: The Clinical High Risk state for Psychosis (CHR-P) has become the cornerstone of modern preventive psychiatry. The next stage of clinical advancements rests on the ability to formulate a more accurate prognostic estimate at the individual subject level. Individual Participant Data Meta-A...

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Main Authors: Aaltsje Malda, Nynke Boonstra, Hans Barf, Steven de Jong, Andre Aleman, Jean Addington, Marita Pruessner, Dorien Nieman, Lieuwe de Haan, Anthony Morrison, Anita Riecher-Rössler, Erich Studerus, Stephan Ruhrmann, Frauke Schultze-Lutter, Suk Kyoon An, Shinsuke Koike, Kiyoto Kasai, Barnaby Nelson, Patrick McGorry, Stephen Wood, Ashleigh Lin, Alison Y. Yung, Magdalena Kotlicka-Antczak, Marco Armando, Stefano Vicari, Masahiro Katsura, Kazunori Matsumoto, Sarah Durston, Tim Ziermans, Lex Wunderink, Helga Ising, Mark van der Gaag, Paolo Fusar-Poli, Gerdina Hendrika Maria Pijnenborg
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Psychiatry
Subjects:
clinical high risk
psychosis
schizophrenia
individual patient data meta-analysis
prognosis
risk prediction
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2019.00345/full

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https://www.frontiersin.org/article/10.3389/fpsyt.2019.00345/full

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