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一项使用偏倚和精密度统计数据来比较心输出量测量技术的研究的荟萃分析。

A meta-analysis of studies using bias and precision statistics to compare cardiac output measurement techniques.

作者信息

Critchley L A, Critchley J A

机构信息

Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong.

出版信息

J Clin Monit Comput. 1999 Feb;15(2):85-91. doi: 10.1023/a:1009982611386.

Abstract

INTRODUCTION

Bias and precision statistics have succeeded regression analysis when measurement techniques are compared. However, when applied to cardiac output measurements, inconsistencies occur in reporting the results of this form of analysis.

METHODS

A MEDLINE search was performed, dating from 1986. Studies comparing techniques of cardiac output measurement using bias and precision statistics were surveyed. An error-gram was constructed from the percentage errors in the test and reference methods and was used to determine acceptable limits of agreement between methods.

RESULTS

Twenty-five articles were found. Presentation of statistical data varied greatly. Four different statistical parameters were used to describe the agreement between measurements. The overall limits of agreement in studies evaluating bioimpedance (n = 23) was +/-37% (15-82%) and in those evaluating Doppler ultrasound (n = 11) +/-65% (25-225%). Objective criteria used to assess outcome were given in only 44% of the articles. These were (i) limits of agreement approaching +/-15-20%, (ii) limits of agreement of less than 1 L/min, and (iii) more than 75% of bias measurements within +/-20% of the mean. Graphically, we showed that limits of agreement of up to +/-30% were acceptable.

CONCLUSIONS

When using bias and precision statistics, cardiac output, bias, limits of agreement, and percentage error should be presented. Using current reference methods, acceptance of a new technique should rely on limits of agreement of up to +/-30%.

摘要

引言

在比较测量技术时,偏倚和精密度统计已取代回归分析。然而,在应用于心输出量测量时,这种分析形式的结果报告存在不一致性。

方法

进行了一项始于1986年的MEDLINE检索。对使用偏倚和精密度统计比较心输出量测量技术的研究进行了调查。根据测试方法和参考方法中的百分比误差构建误差图,并用于确定方法之间可接受的一致性界限。

结果

共找到25篇文章。统计数据的呈现差异很大。使用了四种不同的统计参数来描述测量之间的一致性。评估生物阻抗的研究(n = 23)的总体一致性界限为±37%(15 - 82%),评估多普勒超声的研究(n = 11)为±65%(25 - 225%)。仅44%的文章给出了用于评估结果的客观标准。这些标准为:(i)一致性界限接近±15 - 20%;(ii)一致性界限小于1 L/min;(iii)超过75%的偏倚测量值在平均值的±20%范围内。通过图表,我们表明一致性界限高达±30%是可以接受的。

结论

在使用偏倚和精密度统计时,应呈现心输出量、偏倚、一致性界限和百分比误差。使用当前的参考方法,新技术的接受应依赖于高达±30%的一致性界限。

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