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药物不良反应操作评估算法。II. 再现性和有效性的论证。

An algorithm for the operational assessment of adverse drug reactions. II. Demonstration of reproducibility and validity.

作者信息

Hutchinson T A, Leventhal J M, Kramer M S, Karch F E, Lipman A G, Feinstein A R

出版信息

JAMA. 1979 Aug 17;242(7):633-8.

PMID:449003
Abstract

The reproducibility and validity of an algorithm for diagnosis of adverse drug reactions (ADRs) were tested in a clinical spectrum of 30 suspect cases. Using a questionnaire derived from the algorithm the three algorithm developers (nonexperts) agreed on the probability of ADR in 67% of cases, with pair-wise agreement varying from 73% to 87%. The pair-wise agreement of two clinical pharmacologic experts rose from 47% without the algorithm to 63% with the algorithm, with Kw, a chance-corrected index of weighted agreement, increasing from 0.26 to 0.57. The algorithmic assessments of the three nonexperts agreed with expert consensus in 80% to 83% of cases. The ADR algorithm appears to provide a reproducible and valid method of evaluating the likelihood of ADRs in individual patients. Its use can help improve the diagnostic and epidemiologic approach to these important, complex clinical phenomena.

摘要

在30例疑似病例的临床范围内,对一种药物不良反应(ADR)诊断算法的可重复性和有效性进行了测试。使用从该算法得出的问卷,三位算法开发者(非专家)在67%的病例中对ADR的可能性达成了一致,两两之间的一致性从73%到87%不等。两位临床药理专家的两两一致性从没有该算法时的47%提高到有该算法时的63%,Kappa值(Kw),一种加权一致性的机会校正指数,从0.26增加到0.57。三位非专家的算法评估在80%至83%的病例中与专家共识一致。ADR算法似乎提供了一种可重复且有效的方法来评估个体患者发生ADR的可能性。其应用有助于改进对这些重要、复杂临床现象的诊断和流行病学方法。

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