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
Version 3 2024-06-19, 02:46
Version 2 2024-06-05, 11:20
Version 1 2019-05-01, 00:00
journal contribution
posted on 2024-06-19, 02:46 authored by A Malda, N Boonstra, H Barf, S De Jong, A Aleman, J Addington, M Pruessner, D Nieman, L De Haan, A Morrison, A Riecher-Rössler, E Studerus, S Ruhrmann, F Schultze-Lutter, SK An, S Koike, K Kasai, B Nelson, P McGorry, S Wood, A Lin, Alison YungAlison Yung, M Kotlicka-Antczak, M Armando, S Vicari, M Katsura, K Matsumoto, S Durston, T Ziermans, L Wunderink, H Ising, M Van Der Gaag, P Fusar-Poli, GH Maria PijnenborgIndividualized 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
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EnglishPublication classification
C1 Refereed article in a scholarly journalJournal
Frontiers in PsychiatryVolume
10Article number
ARTN 345Pagination
1 - 17ISSN
1664-0640eISSN
1664-0640Issue
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FRONTIERS MEDIA SAUsage metrics
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Keywords
Science & TechnologyLife Sciences & BiomedicinePsychiatryclinical high riskpsychosisschizophreniaindividual patient data meta-analysisprognosisrisk predictionULTRA-HIGH RISKFOLLOW-UPMENTAL STATEEXTERNAL VALIDATIONSYMPTOM ASSESSMENTNEGATIVE SYMPTOMSGLOBAL ASSESSMENTONSETPREVENTIONSCALE3209 Neurosciences4202 Epidemiology
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