What has preclinical systematic review ever done for us?

Q1 Medicine BMJ Open Science Pub Date : 2022-03-01 DOI:10.1136/bmjos-2021-100219
A. A. M. Russell, B. Sutherland, Lila M Landowski, Malcolm R Macleod, D. Howells
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引用次数: 3

Abstract

Systematic review and meta-analysis are a gift to the modern researcher, delivering a crystallised understanding of the existing research data in any given space. This can include whether candidate drugs are likely to work or not and which are better than others, whether our models of disease have predictive value and how this might be improved and also how these all interact with disease pathophysiology. Grappling with the literature needed for such analyses is becoming increasingly difficult as the number of publications grows. However, narrowing the focus of a review to reduce workload runs the risk of diminishing the generalisability of conclusions drawn from such increasingly specific analyses. Moreover, at the same time as we gain greater insight into our topic, we also discover more about the flaws that undermine much scientific research. Systematic review and meta-analysis have also shown that the quality of much preclinical research is inadequate. Systematic review has helped reveal the extent of selection bias, performance bias, detection bias, attrition bias and low statistical power, raising questions about the validity of many preclinical research studies. This is perhaps the greatest virtue of systematic review and meta-analysis, the knowledge generated ultimately helps shed light on the limitations of existing research practice, and in doing so, helps bring reform and rigour to research across the sciences. In this commentary, we explore the lessons that we have identified through the lens of preclinical systematic review and meta-analysis.
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临床前系统评价为我们做了什么?
系统综述和荟萃分析是送给现代研究人员的礼物,可以对任何给定空间中的现有研究数据提供具体的理解。这可能包括候选药物是否可能有效,哪些药物比其他药物更好,我们的疾病模型是否具有预测价值,如何改进,以及这些药物如何与疾病病理生理学相互作用。随着出版物数量的增长,掌握此类分析所需的文献变得越来越困难。然而,缩小审查的重点以减少工作量,有可能削弱从这种日益具体的分析中得出的结论的普遍性。此外,在我们对我们的主题有了更深入的了解的同时,我们也发现了更多破坏许多科学研究的缺陷。系统综述和荟萃分析也表明,许多临床前研究的质量不足。系统综述有助于揭示选择偏差、表现偏差、检测偏差、损耗偏差和低统计能力的程度,这对许多临床前研究的有效性提出了质疑。这也许是系统综述和荟萃分析的最大优点,所产生的知识最终有助于揭示现有研究实践的局限性,并在这样做的过程中,有助于为整个科学的研究带来改革和严格性。在这篇评论中,我们从临床前系统综述和荟萃分析的角度探讨了我们已经确定的经验教训。
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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来源期刊
BMJ Open Science
BMJ Open Science Medicine-General Medicine
CiteScore
10.00
自引率
0.00%
发文量
9
审稿时长
31 weeks
期刊最新文献
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