Woods Steven Paul, Weinborn Michael, Lovejoy David W
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
J Clin Exp Neuropsychol. 2003 May;25(3):431-9. doi: 10.1076/jcen.25.3.431.13800.
The prevalence of classification accuracy statistics was calculated in five prominent neuropsychology journals and five leading neurology journals for the years 2000 and 2001. Only 29% of neuropsychological articles judged to be appropriate for classification accuracy statistics presented sufficient data to calculate a full range of such analyses. Moreover, classification accuracy statistics were significantly less prevalent in neuropsychology journal articles than in studies published in neurology journals during the same time period. Various indices of sensitivity and/or specificity were present in 31% of neuropsychology articles, whereas fewer than 3% reported predictive values or risk ratios. These findings indicate that classification accuracy statistics, most notably predictive values and risk ratios, are potentially underused in neuropsychology. Investigators and research consumers are encouraged to consider the applicability of classification accuracy statistics as a means of evaluating the clinical relevance of neuropsychological research findings.
2000年和2001年，在五本著名的神经心理学杂志和五本领先的神经病学杂志上计算了分类准确性统计数据的患病率。在被判定适合进行分类准确性统计的神经心理学文章中，只有29%提供了足够的数据来进行全方位的此类分析。此外，在同一时期，神经心理学杂志文章中的分类准确性统计数据的患病率明显低于神经病学杂志上发表的研究。31%的神经心理学文章中存在各种敏感性和/或特异性指标，而报告预测值或风险比的文章不到3%。这些发现表明，分类准确性统计数据，最显著的是预测值和风险比，在神经心理学中可能未得到充分利用。鼓励研究人员和研究消费者考虑分类准确性统计数据作为评估神经心理学研究结果临床相关性的一种手段的适用性。
