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“神经影像学荟萃分析的 10 条简单规则”是否受到同等关注和准确引用?对一项有影响力的神经影像学荟萃分析指南引用情况的考察。

Do "Ten simple rules for neuroimaging meta-analysis" receive equal attention and accurate quotation? An examination on the quotations to an influential neuroimaging meta-analysis guideline.

机构信息

Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China.

出版信息

Neuroimage Clin. 2023;39:103496. doi: 10.1016/j.nicl.2023.103496. Epub 2023 Aug 16.

Abstract

The collection of recommendations and guidelines for conducting and reporting neuroimaging meta-analyses, called "Ten simple rules for neuroimaging meta-analysis" by Müller et al., has been published for a few years. Here, the papers citing this reference were examined to evaluate the rationale of the quotations and what quotation errors existed. In May 2023, an online query via Scopus identified 386 papers citing this reference, 2 of which were inaccessible. The resultant 384 papers were checked to identify the total number of quotations to the reference, the exact quotations, which of the ten recommendations/rules was concerned by each quotation, and if any quotation error existed. Results found that the reference by Müller et al. were quoted 804 times by the 384 papers, meaning an average of 2.1 quotations per paper. Out of the 804 quotations, the three rules that the researchers most frequently referred were the power of the meta-analysis (Rule #2, 14.1%), the consistency of the search coverage and reference space (Rule #4, 13.8%), and the statistical threshold (Rule #8, 10.2%). Overall, 63 quotations from 51 papers contained some errors. In other words, 7.8% (63/804) of the quotations contained errors and they involved 13.3% (51/384) of the papers. The commonest quotation errors were dealing with a failure to substantiate the assertion, unrelated to the assertion, and oversimplification of the original notion. Some notable quotation error examples were to quote Müller et al. to substantiate the assertion of having at least 10 datasets to be considered to have adequate power for ES-SDM meta-analysis (no such recommendation), and having a misquoted primary cluster-forming threshold of p < 0.05 or p < 0.005 (should be p < 0.001). The neuroscience community should be cautious and double-check the accuracy of assertions, even with a quotation.

摘要

《神经影像学荟萃分析的实施和报告建议和指南》,简称 Müller 等人的“神经影像学荟萃分析的 10 个简单规则”,已经发表了几年。在这里,检查了引用这篇参考文献的论文,以评估引用的合理性以及存在哪些引用错误。2023 年 5 月,通过 Scopus 进行的在线查询确定了 386 篇引用该参考文献的论文,其中 2 篇无法访问。检查了这 384 篇论文,以确定对参考文献的总引用次数、确切的引用内容、每个引用涉及的十个建议/规则中的哪一个,以及是否存在引用错误。结果发现,Müller 等人的参考文献被这 384 篇论文引用了 804 次,平均每篇论文引用 2.1 次。在这 804 个引文中,研究人员最常提到的三个规则是荟萃分析的效力(规则#2,14.1%)、搜索范围和参考空间的一致性(规则#4,13.8%)和统计阈值(规则#8,10.2%)。总的来说,51 篇论文中的 63 个引文存在一些错误。换句话说,8.0%(63/804)的引文存在错误,涉及 13.3%(51/384)的论文。最常见的引文错误涉及未能证实断言、与断言无关和对原始概念的过度简化。一些值得注意的引文错误示例是引用 Müller 等人来证实至少有 10 个数据集的说法,认为这对于 ES-SDM 荟萃分析具有足够的效力(没有这样的建议),以及引用错误的主要聚类形成阈值 p < 0.05 或 p < 0.005(应为 p < 0.001)。即使是引文,神经科学界也应该谨慎并仔细检查断言的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3f6/10458279/04cd5de9f39e/gr1.jpg

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