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

Malda, A; Boonstra, N; Barf, H; De Jong, S; Aleman, A; Addington, J; Pruessner, M; Nieman, D; De Haan, L; Morrison, A; Riecher-Rössler, A; Studerus, E; Ruhrmann, S; Schultze-Lutter, F; An, S K; Koike, S; Kasai, K; Nelson, B; McGorry, P; Wood, S; Lin, A; Yung, Alison; Kotlicka-Antczak, M; Armando, M; Vicari, S; Katsura, M; Matsumoto, K; Durston, S; Ziermans, T; Wunderink, L; Ising, H; Van Der Gaag, M; Fusar-Poli, P; Maria Pijnenborg, G H

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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

journal contribution

posted on 2019-05-01, 00:00 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, S K 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, G H Maria Pijnenborg

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

History

Journal

Frontiers in psychiatry

Volume

10

Article number

345

Pagination

1 - 17

Publisher

Frontiers Media

Location

Lausanne, Switzerland

Publisher DOI

https://doi.org/10.3389/fpsyt.2019.00345

Link to full text

http://doi.org/10.3389/fpsyt.2019.00345

ISSN

1664-0640

eISSN

1664-0640

Language

English

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http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000468465800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1 Refereed article in a scholarly journal

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Keywords

clinical high risk EXTERNAL VALIDATION FOLLOW-UP GLOBAL ASSESSMENT individual patient data meta-analysis Life Sciences & Biomedicine MENTAL STATE NEGATIVE SYMPTOMS ONSET PREVENTION prognosis Psychiatry psychosis risk prediction SCALE schizophrenia Science & Technology SYMPTOM ASSESSMENT ULTRA-HIGH RISK

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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

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