Heterogeneity of Psychosis Risk Within Individuals at Clinical High Risk
Author(s) -
Paolo FusarPoli,
Marco Cappucciati,
Stefan Borgwardt,
Scott W. Woods,
Jean Addington,
Barnaby Nelson,
Dorien H. Nieman,
Daniel Ståhl,
Grazia Rutigliano,
Anita RiecherRössler,
Andor E. Simon,
Masafumi Mizuno,
Tae Young Lee,
Jun Soo Kwon,
May M.L. Lam,
Jesús Pérez,
Szabolcs Kéri,
G. Paul Amminger,
Sibylle Metzler,
Wolfram Kawohl,
Wulf Rössler,
Jimmy Lee,
Javier Labad,
Tim Ziermans,
Suk Kyoon An,
ChenChung Liu,
Kristen A. Woodberry,
A. Braham,
Cheryl M. Corcoran,
Patrick D. McGorry,
Alison R. Yung,
Philip McGuire
Publication year - 2015
Publication title -
jama psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.531
H-Index - 365
eISSN - 2168-6238
pISSN - 2168-622X
DOI - 10.1001/jamapsychiatry.2015.2324
Subject(s) - psychosis , meta analysis , funnel plot , publication bias , medicine , medline , psychiatry , bonferroni correction , web of science , psychology , clinical psychology , biology , biochemistry , statistics , mathematics
Individuals can be classified as being at clinical high risk (CHR) for psychosis if they meet at least one of the ultra-high-risk (UHR) inclusion criteria (brief limited intermittent psychotic symptoms [BLIPS] and/or attenuated psychotic symptoms [APS] and/or genetic risk and deterioration syndrome [GRD]) and/or basic symptoms [BS]. The meta-analytical risk of psychosis of these different subgroups is still unknown.
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