Atypical antipsychotic drugs and diabetes mellitus in the US food and drug administration adverse event database: A systematic Bayesian signal detection analysis

Psychopharmacology Bulletin

Volumn 42, Issue 1, 2009, Pages 11-31

  Baker, Ross A ^a   Pikalov, Andrei ^b   Tran, Quynh Van ^b   Kremenets, Tatyana ^a   Arani, Ramin B ^a   Doraiswamy, P Murali ^c  

^a BRISTOL MYERS SQUIBB   (United States)

^b OTSUKA PHARMACEUTICAL DEVELOPMENT AND COMMERCIALIZATION INC   (United States)

^c DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

AERS; Diabetes related adverse events; Glucose regulation; Metabolic side effects; Second generation antipsychotics

Indexed keywords

ARIPIPRAZOLE; ATYPICAL ANTIPSYCHOTIC AGENT; CLOZAPINE; HALOPERIDOL; OLANZAPINE; QUETIAPINE; RISPERIDONE; ZIPRASIDONE;

ALGORITHM; ARTICLE; BAYES THEOREM; DIABETES MELLITUS; FOOD AND DRUG ADMINISTRATION; HUMAN; LOGISTIC REGRESSION ANALYSIS; PATIENT MONITORING; SIGNAL DETECTION;

ADOLESCENT; ADULT; ADVERSE DRUG REACTION REPORTING SYSTEMS; AGED; ALGORITHMS; ANTIPSYCHOTIC AGENTS; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; DATA MINING; DIABETES MELLITUS; HUMANS; INFANT; LOGISTIC MODELS; MIDDLE AGED; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION; YOUNG ADULT;

EID: 70349156383     PISSN: 00485764     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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