如何进行和报告网络元分析中的检查过渡性和不一致性:包括实践工作示例,体育和运动医学研究人员的代码和源数据的叙事审查
Daniel L Belavý1, Svenja Kaczorowski1, Tobias Saueressig2
1Department für Pflege-, Hebammen- und Therapiewissenschaften, Hochschule für Gesundheit, Bochum, Germany.
BMJ open sport & exercise medicine
|December 25, 2024
概括
运动和运动医学 (SEM) 中的网络元分析 (NMA) 有助于比较多种治疗方法. 这份指南阐明了NMA.
科学领域:
- 体育和运动医学研究研究 运动医学研究
- 生物统计学 生物统计学
- 证据综合 证据综合
背景情况:
- 网络元分析 (NMA) 在体育和运动医学 (SEM) 中越来越多地用于比较多种干预措施.
- 在SEM研究中的一个重大挑战是对NMA假设的评估和报告,特别是过渡性和一致性.
- 改善NMA行为可以导致更好的临床决策.
研究的目的:
- 为SEM研究人员提供评估和报告NMA假设的实用指南.
- 解决基于SEM的NMA的过渡性和一致性的具体挑战.
- 在SEM领域促进NMA的最佳实践.
主要方法:
- 该研究使用SEM领域中先前发布的NMA作为案例.
- 提供统计代码,源数据和工作示例来说明方法.
- 该指南侧重于评估NMA假设的实际方法.
主要成果:
- 该论文提供了一个明确的框架,用于评估SEM中的NMA过渡性和一致性.
- 提供的资源有助于理解和应用这些关键假设.
- 工作示例展示了如何在NMA中为SEM实施最佳实践.
结论:
- 本指南旨在改善体育和运动医学中NMA的行为和报告.
- 通过解决关键假设,该研究旨在提高NMA调查结果的可靠性.
- 最终,这项工作通过强大的元分析,有助于推进基于证据的SEM实践.
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