Predictors of response to clozapine therapy
Multiple regression analysis and discriminant function analyses were applied to the question of prediction of therapeutic success or failure to clozapine therapy, using a non-biological predictor pool of 46 items. This effort was not successful, accounting for less than 25% of outcome variance under...
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Veröffentlicht in: | Psychopharmacologia 1989-01, Vol.99 Suppl (S1), p.S64-S67 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Multiple regression analysis and discriminant function analyses were applied to the question of prediction of therapeutic success or failure to clozapine therapy, using a non-biological predictor pool of 46 items. This effort was not successful, accounting for less than 25% of outcome variance under optimal conditions. However, it does appear that while clozapine efficacy in treatment-resistant schizophrenic patients in general is superior to such neuroleptics as chlorpromazine or haloperidol, the "paranoid" subgroup appears to benefit most. |
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ISSN: | 0033-3158 1432-2072 |
DOI: | 10.1007/BF00442562 |