The role of reviewers in the era of systematic reviews and meta-analysis: A practical guide for researchers.

0 MEDICINE, RESEARCH & EXPERIMENTAL
Emir Begagić, Faruk Skenderi, Semir Vranić
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引用次数: 0

Abstract

A systematic review with meta-analysis (SRMA) represents the pinnacle of evidence, but its validity depends on methodological rigor. This narrative review synthesizes recommendations from major reporting frameworks- Preferred Reporting Items for Systematic Reviews and Meta‑Analyses 2020 (PRISMA‑2020), Meta‑Analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Overviews of Reviews (PRIOR)-into a concise checklist for peer reviewers. The checklist addresses common sources of bias that often escape editorial assessment. Initially, it outlines how reviewers should assess the rationale for an SRMA by identifying existing syntheses on the same topic and determining whether the new work provides substantive novelty or a significant update. Best practices are summarized for protocol registration, comprehensive search strategies, study selection and data extraction, risk-of-bias evaluation, and context-appropriate statistical modeling, with a specific focus on heterogeneity, small-study effects, and data transparency. Case examples highlight frequent pitfalls, such as unjustified pooling of heterogeneous designs and selective outcome reporting. Guidance is also provided for formulating balanced, actionable review comments that enhance methodological integrity without extending editorial timelines. This checklist equips editors and reviewers with a structured tool for systematic appraisal across clinical disciplines, ultimately improving the reliability, reproducibility, and clinical utility of future SRMAs.

系统评价和荟萃分析时代审稿人的角色:研究人员的实用指南。
荟萃分析(SRMA)的系统综述代表了证据的顶峰,但其有效性取决于方法的严谨性。这篇叙述性综述综合了主要报告框架的建议——2020年系统评价和Meta分析的首选报告项目(PRISMA - 2020)、流行病学观察性研究的荟萃分析(MOOSE)和综述性评价的首选报告项目(PRIOR)——形成了一份简明的同行评议清单。该清单列出了经常逃避编辑评估的常见偏见来源。最初,它概述了审稿人应该如何通过识别关于同一主题的现有综合并确定新工作是否提供实质性的新颖性或重要的更新来评估SRMA的基本原理。本文总结了方案注册、综合搜索策略、研究选择和数据提取、偏倚风险评估和适合上下文的统计建模的最佳实践,并特别关注异质性、小研究效应和数据透明度。案例例子突出了常见的缺陷,例如不合理的异质设计池和选择性的结果报告。还提供了制定平衡的、可操作的审查意见的指导,以提高方法的完整性,而不延长编辑时间表。该清单为编辑和审稿人提供了一个结构化的工具,用于跨临床学科的系统评估,最终提高未来srma的可靠性、可重复性和临床实用性。
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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1.10
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