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对于在系统评价中报告结果变量范围的研究,可以计算效应量。

Effect sizes can be calculated for studies reporting ranges for outcome variables in systematic reviews.

作者信息

Walter S D, Yao X

机构信息

Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.

出版信息

J Clin Epidemiol. 2007 Aug;60(8):849-52. doi: 10.1016/j.jclinepi.2006.11.003. Epub 2007 Mar 23.

Abstract

OBJECTIVE

To develop a method by which studies reporting the ranges (or maxima and minima) of observed outcomes can be included in systematic reviews, along with other studies reporting in the more usual way by using standard deviations (SDs).

STUDY DESIGN AND SETTING

An approach is proposed to allow a numerical conversion of a reported range from a continuous outcome into an equivalent SD.

RESULTS

The SD is estimated from the observed range times an appropriate conversion factor. Two examples (the first concerning a patient education program on adherence to drug treatment for rheumatoid arthritis, and the second investigating if cognitive behavior therapy could improve adherence to antiretroviral therapy and then lead to suppression of human immunodeficiency virus replication) demonstrate the calculations.

CONCLUSION

This note provides a simple method to allow studies that report outcome variability in terms of ranges to be included in systematic reviews by conversion to equivalent SDs. The method is entirely valid if the outcome variable is normally distributed, but for nonnormal data, some caution may be needed.

摘要

目的

开发一种方法,使报告观察结果范围(或最大值和最小值)的研究能够与其他以更常规方式使用标准差(SD)报告的研究一起纳入系统评价。

研究设计与设置

提出一种方法,用于将报告的连续结果范围进行数值转换为等效的标准差。

结果

标准差通过观察到的范围乘以适当的转换因子来估计。两个例子(第一个涉及类风湿性关节炎药物治疗依从性的患者教育项目,第二个研究认知行为疗法是否能提高抗逆转录病毒疗法的依从性并进而导致人类免疫缺陷病毒复制受到抑制)展示了计算过程。

结论

本说明提供了一种简单方法,通过转换为等效的标准差,使报告结果变异性为范围的研究能够纳入系统评价。如果结果变量呈正态分布,该方法完全有效,但对于非正态数据,可能需要谨慎使用。

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