Trimethoprim-induced hyperkalaemia - Lessons in data mining [1]

British Journal of Clinical Pharmacology

Volumn 58, Issue 3, 2004, Pages 338-339

  Hauben, Manfred ^a,b,c  

^a PFIZER INC   (United States)

^b NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NEW YORK MEDICAL COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COTRIMOXAZOLE; TRIMETHOPRIM;

BAYES THEOREM; DRUG SURVEILLANCE PROGRAM; HUMAN; HYPERKALEMIA; INTERMETHOD COMPARISON; LETTER; PRIORITY JOURNAL; SIGNAL DETECTION; SIGNAL NOISE RATIO;

DATA COLLECTION; HUMANS; HYPERKALEMIA; TRIMETHOPRIM;

EID: 4444353671     PISSN: 03065251     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-2125.2004.02153.x     Document Type: Letter

References (5)

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3. Szarfman A, Machado SG, O'Neill R. Use of screening algorithms and computer systems to efficiently signal higher-than expected combinations of drugs and events in the US FDA's spontaneous reports database. Drug Safety 2002; 25: 381-2.
4. Hauben M. A brief primer on automated signal detection. Ann Pharmacother 2003; 37: 1117-23.
5. Perazella M. Drug-induced hyperkalemia: old culprits and new offenders. Am J Med 2000; 109: 307-14.