Disproportionality analyses of spontaneous reports.
Disproportionality analyses of spontaneous reports.
复制标题
自发报告的不成比例分析。
DOI:
10.1002/pds.995
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发表时间:
2004
影响因子:
2.6
通讯作者:
Hennessy,Sean
中科院分区:
文献类型:
--
作者:
Hennessy,Sean
Case reports and case series are widely regarded as useful for raising hypotheses to be tested in subsequent controlled studies, but generally insufficient to constitute convincing evidence of a cause-effect relationship. Nevertheless, publication of case reports is common and seems to evoke little concern that it fosters unfounded beliefs about particular cause-effect relationships. This is presumably because of the widespread recognition of the limited interpretability of case reports.Those performing pharmacovigilance sometimes perform quantitative analyses of data from spontaneous reporting systems as a supplement to qualitatively examining individual case reports. For example, one can calculate, for a given drug, the relative frequency of a specific event versus all events reported for that drug, divided by the corresponding quantity for other drugs. If the frequencies are expressed as proportions, then this ratio is the proportional reporting ratio (PRR); 1 if expressed as odds, then the ratio is the reporting odds ratio (ROR). 2, 3 Collectively, the PRR and ROR are known as disproportionality measures. The relative merits of the PRR versus the ROR are discussed elsewhere. 2–4