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波特兰数字识别测试在创伤性脑损伤中的分类准确性:已知组分析结果

Classification accuracy of the Portland Digit Recognition Test in traumatic brain injury: results of a known-groups analysis.

作者信息

Greve Kevin W, Bianchini Kevin J

机构信息

Department of Psychology, University of New Orleans, LA 70148, USA.

出版信息

Clin Neuropsychol. 2006 Dec;20(4):816-30. doi: 10.1080/13854040500346610.

Abstract

The present study used a known-groups design to examine the accuracy of the Portland Digit Recognition Test (PDRT) in the detection of malingering in traumatic brain injury (TBI). Data were derived from 262 TBI patients who were classified as not malingering, possibly malingering, and malingering based on the Slick, Sherman, and Iverson (1999) criteria. The original PDRT cutoffs detected between 20 and 50% of malingering TBI patients with a false positive error rate of 5% or less. When the false positive error rate was held at 5%, across all item sets, sensitivity was as high as 70%. The results show that the original PDRT cutoffs are conservative and that higher scores detect more MND patients without causing the false positive error rate to become unacceptably high. Clinical application and future research needs are discussed.

摘要

本研究采用已知群体设计,以检验波特兰数字识别测验(PDRT)在检测创伤性脑损伤(TBI)中伪装行为的准确性。数据来自262名TBI患者,这些患者根据斯利克、谢尔曼和艾弗森(1999年)的标准被分类为非伪装、可能伪装和伪装。原始的PDRT临界值能检测出20%至50%的伪装TBI患者,假阳性错误率为5%或更低。当假阳性错误率保持在5%时,在所有项目组中,敏感性高达70%。结果表明,原始的PDRT临界值较为保守,较高的分数能检测出更多的伪装神经认知障碍(MND)患者,而不会使假阳性错误率高到不可接受的程度。文中还讨论了临床应用和未来的研究需求。

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