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在顶级病理学期刊上发表的诊断准确度元分析中对旋转的评估:一个横截面研究

Griffin K Hughes¹, Andrew V Tran², Sydney Marouk²

¹Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA. griffinhughesresearch@gmail.com.

Virchows Archiv : an international journal of pathology

|January 23, 2026

概括

旋转,或夸大研究结果,在来自顶级病理学期刊的诊断准确性元分析中很常见. 所有审查的研究都包含了旋转,经常误解研究结果并使用有缺陷的统计数据.

科学领域:

医学研究的完整性医学研究的完整性
诊断测试评价诊断测试评价诊断测试评价
进行元分析的方法论.

背景情况:

转,研究结果的过度解释,在干预研究中得到了充分证据.
然而,诊断证据基础中的旋转得到了有限的关注.
这项研究通过检查诊断准确性元分析中的旋转来解决这一差距.

研究的目的:

评估诊断准确度元分析中旋转的流行率和类型.
在结论和方法论中识别特定的过度解释.
为作者和读者提供建议,以减轻旋转.

主要方法:

对诊断测试准确度元分析的横截面研究.
在PubMed搜索了前20家病理学期刊上的研究.
应用了既定方法来识别19个潜在和实际旋转项目.
通过掩盖重复选提取的数据.

主要成果:

所有55个包含的元分析 (100%) 包含至少一个旋转项.
80%的研究在准确性或临床影响方面得出了积极的结论.
大多数积极的结论 (75-80%) 与聚合估计不一致.
19项研究 (34.5%) 使用非推的统计方法来聚合准确度.

结论:

领先的病理学期刊上的诊断准确性元分析始终表现出旋转.
作者必须将发现置于背景,并使用适当的统计方法 (例如,双变量,层次模型).
读者应该批判性地评估元分析,特别是那些缺乏对样本大小和置信区间的透明报告的元分析.

关键词:

诊断的准确性诊断的准确性实验室医学实验室医学进行元分析分析.病理学病理学病理学旋转旋转旋转

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