识别生物医学研究中无显著性发现的旋转偏倚。
Identifying spin bias of nonsignificant findings in biomedical studies.
机构信息
Center of Excellence for the Acceleration of Harm Reduction, University of Catania, Via Santa Sofia, 89 Torre Biologica 11 piano, 95123, Catania, Italy.
Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
出版信息
BMC Res Notes. 2023 May 3;16(1):50. doi: 10.1186/s13104-023-06321-2.
OBJECTIVE
The purpose of this research note is to share a technique for the identification of spin bias that we developed as part of a living systematic review on the cardiovascular testing of e-cigarette substitution for cigarette smoking. While some researchers have remarked on the subjective nature of ascertaining spin bias, our technique objectively documents forms of spin bias arising from the misrepresentation of nonsignificant findings and from the omission of data.
RESULTS
We offer a two-step process for the identification of spin bias consisting of tracking data and findings and recording of data discrepancies by describing how the spin bias was produced in the text. In this research note, we give an example of the documentation of spin bias from our systematic review. Our experience was that nonsignificant results were presented as causal or even as significant in the Discussion of studies. Spin bias distorts scientific research and misleads readers; therefore it behooves peer reviewers and journal editors to make the effort to detect and correct it.
目的
本研究报告的目的是分享一种识别自旋偏见的技术，我们在一项关于电子烟替代吸烟的心血管测试的系统评价中开发了这种技术。虽然一些研究人员已经注意到确定自旋偏见的主观性，但我们的技术客观地记录了由于对无显著性发现的错误表述以及数据缺失而产生的自旋偏见。
结果
我们提出了一种识别自旋偏见的两步法，包括跟踪数据和发现，并通过描述文本中自旋偏见的产生方式来记录数据差异。在本研究报告中，我们给出了一个来自我们系统评价的自旋偏见记录的例子。我们的经验是，无显著性结果在研究的讨论中被表述为因果关系，甚至是显著的。自旋偏见扭曲了科学研究，误导了读者；因此，同行评审员和期刊编辑有责任努力发现并纠正它。
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