从大量论文和误导性发现中恢复孟德尔的随机化
Stefan Stender1,2, Helene Gellert-Kristensen3,4, George Davey Smith5,6
1Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. Stefan.stender@regionh.dk.
Lipids in health and disease
|September 7, 2024
概括
门德尔随机化 (MR) 研究面临质量问题. 编辑应该拒绝低价值的两样MR研究,并要求对新方法进行严格的测试,以确保科学完整性.
科学领域:
- 流行病学 流行病学
- 遗传流行病学遗传流行病学
- 生物统计学 生物统计学
背景情况:
- 门德尔随机化 (MR) 是流行病学中因果推理的一个关键方法.
- MR 的普及导致了两个令人担忧的趋势:低质量的两样 MR (2SMR) 研究的增加和未经充分验证的新型 MR 方法的过早应用.
- 例如,与维生素D相关的虚假发现,需要撤回和纠正.
研究的目的:
- 为应对低质量的2SMR研究的扩散和新型MR方法的未经验证的应用所带来的挑战.
- 为编辑和同行评审提供有关MR研究趋势的指导.
- 维护MR作为因果推理工具的科学严谨性和可信性.
主要方法:
- 该研究回顾了门德尔随机化研究的当前趋势,重点关注两样 MR 和新方法应用.
- 它为期刊编辑和同行评审者提出了具体行动,以管理研究的涌入.
- 建议包括拒绝缺乏额外证据的2SMR研究,并要求对新方法进行严格的测试.
主要成果:
- 低质量的2SMR研究的爆炸正在压倒科学文献,并增加了最小的价值.
- 新型MR方法在没有足够的测试的情况下过早应用,导致误导和撤回的发现.
- 建议编辑拒绝仅报告2SMR发现的论文,而无需进一步支持.
结论:
- 严格的同行评审对于维护孟德尔随机化研究的完整性至关重要.
- 拒绝非贡献性2SMR研究和要求对新方法进行彻底验证是关键的步骤.
- 实施这些措施将有助于科学界重新获得MR的价值和可靠性,用于因果推断.
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