title: Predictors of response to clozapine therapy.
abstract: 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.
authors: Sandoz Research Institute, East Hanover, NJ 07936.
authors: G
authors: G
authors: Honigfeld
authors: J
authors: J
authors: Patin
mesh_terms: D003024:Clozapine / Q000627:therapeutic use*; D003984:Dibenzazepines / Q000627:therapeutic use*; D006801:Humans; D011237:Predictive Value of Tests; D011379:Prognosis; D011569:Psychiatric Status Rating Scales; D012044:Regression Analysis; D012559:Schizophrenia / Q000188:drug therapy*; D012563:Schizophrenia, Paranoid / Q000188:drug therapy; D012565:Schizophrenic Psychology
chemical_list: D003984:Dibenzazepines; D003024:Clozapine