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Populations at risk: Predicting and preventing drug‐induced disease
Author(s) -
Spielberg S. P.
Publication year - 1993
Publication title -
pharmacoepidemiology and drug safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.023
H-Index - 96
eISSN - 1099-1557
pISSN - 1053-8569
DOI - 10.1002/pds.2630020707
Subject(s) - medicine , disease , drug , pharmacoepidemiology , risk assessment , bioinformatics , intensive care medicine , pharmacology , medical prescription , computer security , computer science , biology
Advances in ADR prediction and prevention will likely come from improved understanding of the basic mechanisms of ADRs, and our ability to tap issues of human heterogeneity and diversity which make a given individual at high risk for a specific ADR. Careful clinical characterization of ADRs, epidemiologic classification, and use of biologic markers closely linked to the mechanisms of predisposition and the pathogenesis of the ADR ultimately will lead to therapy based on individual risk/benefit assessment.