The power of integrating data: advancing pain research using meta-analysis.

IF 3.4 Q2 NEUROSCIENCES
Pain Reports Pub Date : 2022-10-04 eCollection Date: 2022-11-01 DOI:10.1097/PR9.0000000000001038
Joel Fundaun, Elizabeth T Thomas, Annina B Schmid, Georgios Baskozos
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引用次数: 0

Abstract

Publications related to pain research have increased significantly in recent years. The abundance of new evidence creates challenges staying up to date with the latest information. A comprehensive understanding of the literature is important for both clinicians and investigators involved in pain research. One commonly used method to combine and analyse data in health care research is meta-analysis. The primary aim of a meta-analysis is to quantitatively synthesise the results of multiple studies focused on the same research question. Meta-analysis is a powerful tool that can be used to advance pain research. However, there are inherent challenges when combining data from multiple sources. There are also numerous models and statistical considerations when undertaking a meta-analysis. This review aims to discuss the planning and preparation for completing a meta-analysis, review commonly used meta-analysis models, and evaluate the clinical implications of meta-analysis in pain research.

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整合数据的力量:利用荟萃分析推进疼痛研究。
近年来,与疼痛研究相关的出版物大幅增加。新证据的大量出现给及时了解最新信息带来了挑战。对文献的全面了解对于参与疼痛研究的临床医生和研究人员都很重要。在医疗保健研究中,一种常用的合并和分析数据的方法是荟萃分析。荟萃分析的主要目的是定量综合针对同一研究问题的多项研究结果。荟萃分析是一种强大的工具,可用于推进疼痛研究。然而,在综合多个来源的数据时会遇到固有的挑战。在进行荟萃分析时还需要考虑许多模型和统计因素。本综述旨在讨论完成荟萃分析的计划和准备工作,回顾常用的荟萃分析模型,并评估荟萃分析在疼痛研究中的临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pain Reports
Pain Reports Medicine-Anesthesiology and Pain Medicine
CiteScore
7.50
自引率
2.10%
发文量
93
审稿时长
8 weeks
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