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

• Published in: Frontiers in psychiatry Vol. 10; p. 345
• Main Authors: Malda, Aaltsje, Boonstra, Nynke, Barf, Hans, de Jong, Steven, Aleman, Andre, Addington, Jean, Pruessner, Marita, Nieman, Dorien, de Haan, Lieuwe, Morrison, Anthony, Riecher-Rössler, Anita, Studerus, Erich, Ruhrmann, Stephan, Schultze-Lutter, Frauke, An, Suk Kyoon, Koike, Shinsuke, Kasai, Kiyoto, Nelson, Barnaby, McGorry, Patrick, Wood, Stephen, Lin, Ashleigh, Yung, Alison Y, Kotlicka-Antczak, Magdalena, Armando, Marco, Vicari, Stefano, Katsura, Masahiro, Matsumoto, Kazunori, Durston, Sarah, Ziermans, Tim, Wunderink, Lex, Ising, Helga, van der Gaag, Mark, Fusar-Poli, Paolo, Pijnenborg, Gerdina Hendrika Maria
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 21.05.2019
• Subjects: clinical high risk; individual patient data meta-analysis; prognosis; Psychiatry; psychosis; risk prediction; schizophrenia; individual patient data meta-analysis; schizophrenia; prognosis; clinical high risk; risk prediction; psychosis

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-Analyses (IPD...