Journal article

Efficacy of Using Cognitive Status in Predicting Psychosis: A 7-Year Follow-Up

Anita Riecher-Roessler, Marion O Pflueger, Jacqueline Aston, Stefan J Borgwardt, Warrick J Brewer, Ute Gschwandtner, Rolf-Dieter Stieglitz



BACKGROUND: Despite extensive early detection research in schizophrenic psychoses, methods for identifying at-risk individuals and predicting their transition to psychosis are still unreliable. Moreover, there are sparse data on long-term prediction. We therefore investigated long-term psychosis transition in individuals with an At Risk Mental State (ARMS) and examined the relative efficacy of clinical and neuropsychological status in optimizing the prediction of transition. METHODS: Sixty-four individuals with ARMS for psychosis were identified from all referrals to our early detection clinic between March 1, 2000 and February 29, 2004. Fifty-three (83%) were followed up for up to 7 (mean 5..

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Awarded by Swiss National Science Foundation

Funding Acknowledgements

This project was supported by the Swiss National Science Foundation, Grant No. [3200-057216.99], no. [3200-0572226.99] No. [PBBSB-106936], and No. [3232BO-119352]; the Mora van Meeuwen-Haefliger Stiftung, Basel (CH), and by unconditional grants from the Novartis Foundation, Bristol-Myers Squibb, GmbH (CTI), Eli Lilly SA (CH), AstraZeneca AG (CH), Janssen-Cilag AG (CH), and Sanofi-Synthelabo AG (CH).