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决定性解决了GRADE中证据质量与不精确性之间的冲突。

Conclusiveness resolves the conflict between quality of evidence and imprecision in GRADE.

作者信息

Anttila Sten, Persson Johannes, Vareman Niklas, Sahlin Nils-Eric

机构信息

SBU: Swedish Council on Health Technology Assessment, Stockholm, Sweden.

Department of Philosophy, Lund University, Lund, Sweden.

出版信息

J Clin Epidemiol. 2016 Jul;75:1-5. doi: 10.1016/j.jclinepi.2016.03.019. Epub 2016 Apr 5.

Abstract

OBJECTIVES

The objective of our article is to show how "quality of evidence" and "imprecision," as they are defined in Grading of Recommendations Assessment, Development, and Evaluation (GRADE) articles, may lead to confusion. We focus only on the context of systematic reviews.

STUDY DESIGN AND SETTING

We analyze, with the aid of standard probabilistic and statistical concepts, the concepts of quality of evidence and imprecision as used in the GRADE framework. This enables us to point out some weaknesses in the relation between "quality of evidence" and "imprecision."

RESULTS

The GRADE framework contains terms familiar from classical statistics, but these terms are used in nonstandard ways. Notably, "imprecision" does not have the meaning in the GRADE framework that it has in statistics, and the well-known table of "evidence levels" wrongly suggests that "quality of evidence" and "accuracy" express the same concept-they do not.

CONCLUSION

We believe that "conclusiveness" rather than "imprecision" would be a suitable term to use when the question whether the CI excludes or includes certain critical margins is being addressed. Conclusiveness could also replace quality of evidence as the final step for a systematic reviewer.

摘要

目的

我们这篇文章的目的是展示在《推荐评估、制定与评价分级》(GRADE)文章中所定义的“证据质量”和“不精确性”是如何可能导致混淆的。我们仅关注系统评价的背景。

研究设计与设置

我们借助标准概率和统计概念,分析GRADE框架中使用的证据质量和不精确性概念。这使我们能够指出“证据质量”与“不精确性”之间关系的一些弱点。

结果

GRADE框架包含一些经典统计学中熟悉的术语,但这些术语的使用方式并不标准。值得注意的是,“不精确性”在GRADE框架中的含义与在统计学中的含义不同,而且著名的“证据水平”表错误地暗示“证据质量”和“准确性”表达的是同一个概念——它们并非如此。

结论

我们认为,当涉及置信区间是否排除或包含某些关键界限的问题时,“确定性”而非“不精确性”会是一个合适的术语。确定性也可以取代证据质量,作为系统评价者的最后一步。

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