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理解网络荟萃分析:护士实用入门指南。

Understanding Network Meta-Analysis: A Practical Introduction for Nurses.

作者信息

Sharifnia Amir Masoud, Biros Erik, Cleary Michelle

机构信息

Student Research Committee, Khomein University of Medical Sciences, Khomein, Iran.

College of Medicine and Dentistry, James Cook University, Townsville, Australia.

出版信息

J Adv Nurs. 2025 Aug;81(8):5208-5213. doi: 10.1111/jan.16421. Epub 2024 Sep 19.

Abstract

AIMS

This paper examines network meta-analysis (NMA) as a methodological advancement in nursing research and discusses considerations for interpreting and applying NMA results in clinical practice.

DESIGN AND METHODS

Methodological discussion.

RESULTS

The NMA method simultaneously evaluates multiple interventions by combining direct and indirect evidence. The publication of NMA articles in nursing journals has been increasing. However, interpreting NMA results can be complex and challenging. In this paper, we outline the prerequisites and assumptions of NMA, provide a graphical representation, discuss effect estimation and quality of evidence and give an overview of applying NMA results in clinical practice.

CONCLUSION

NMA is a valuable analytical approach in nursing research that can provide high-level evidence to guide clinical decision-making. Accurate interpretation of NMA findings is necessary to inform clinical practice. This paper serves as an introduction to NMA for nurses unfamiliar with the approach.

IMPLICATIONS FOR THE PROFESSION

NMA is a powerful statistical technique for assessing the relative effectiveness of different nursing interventions and informing evidence-based nursing guidelines. When interpreting the results, nurses should consider the certainty of evidence and the practical value of the results and be cautious of misleading conclusions.

IMPACT

NMA is a recent analytical method in nursing research. This practical introduction seeks to enhance comprehension of NMA and the interpretation and application of NMA findings in clinical practice. NMA is a robust statistical technique to assess the relative effectiveness of various nursing interventions.

REPORTING METHOD

In the methodological discussion guide, no new data was generated. A hypothetical dataset was used.

PATIENT OR PUBLIC CONTRIBUTION

This methodological paper contributes to understanding NMA and interpreting its results, integrating it into clinical practice, and improving patient outcomes.

摘要

目的

本文探讨网络荟萃分析(NMA)作为护理研究方法学的进展,并讨论在临床实践中解释和应用NMA结果时的注意事项。

设计与方法

方法学讨论。

结果

NMA方法通过结合直接和间接证据同时评估多种干预措施。护理期刊上NMA文章的发表数量一直在增加。然而,解释NMA结果可能很复杂且具有挑战性。在本文中,我们概述了NMA的前提条件和假设,提供了图形表示,讨论了效应估计和证据质量,并概述了在临床实践中应用NMA结果的情况。

结论

NMA是护理研究中有价值的分析方法,可为临床决策提供高级证据。准确解释NMA结果对于指导临床实践很有必要。本文旨在向不熟悉该方法的护士介绍NMA。

对该专业的启示

NMA是一种强大的统计技术,可用于评估不同护理干预措施的相对有效性,并为循证护理指南提供依据。在解释结果时,护士应考虑证据的确定性和结果的实际价值,并警惕误导性结论。

影响

NMA是护理研究中一种新的分析方法。本实用介绍旨在增强对NMA及其在临床实践中结果的解释和应用的理解。NMA是一种可靠的统计技术,用于评估各种护理干预措施的相对有效性。

报告方法

在方法学讨论指南中,未生成新数据。使用了一个假设数据集。

患者或公众贡献

本方法学论文有助于理解NMA及其结果的解释,将其整合到临床实践中,并改善患者结局。

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