Selection bias in rheumatic disease research.

Selection bias in rheumatic disease research.
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DOI:
10.1038/nrrheum.2014.36
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发表时间:
2014-07
期刊:
Nature reviews. Rheumatology
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其他
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查明导致风湿病及其后遗症发展的可改变的风险因素,对于减轻这些疾病在全球范围内造成的重大负担至关重要。然而,此类研究的有效性可能会受到偏差来源的威胁,包括混淆、测量和选择偏差。在这篇综述中,我们讨论了在风湿病研究的关键领域中,选择偏见的潜在主要问题-一种经常被其他偏见和可行性问题所掩盖的偏见和可行性问题。我们提出指数事件偏差(一种选择偏差)作为一些意想不到的发现背后的潜在统一原因之一,例如“风险因素悖论”--这种现象表现为某些风险因素对骨关节炎(OA)或类风湿性关节炎(RA)的发展与进展的不同影响。我们还讨论了在类风湿性关节炎和骨性关节炎研究中由于差异性丢失导致的潜在的选择偏差,以及由于易感人群耗尽(普遍的用户偏见)和不朽的时间偏差造成的选择偏差。教训仍然是,选择偏见可能无处不在,因此有可能将该领域引向歧途。因此,我们最后提出了一些建议,以帮助研究人员避免此类问题,并限制对未来风湿病研究的影响。
The identification of modifiable risk factors for the development of rheumatic conditions and their sequelae is crucial for reducing the substantial worldwide burden of these diseases. However, the validity of such research can be threatened by sources of bias, including confounding, measurement and selection biases. In this Review, we discuss potentially major issues of selection bias—a type of bias frequently overshadowed by other bias and feasibility issues, despite being equally or more problematic—in key areas of rheumatic disease research. We present index event bias (a type of selection bias) as one of the potentially unifying reasons behind some unexpected findings, such as the ‘risk factor paradox’—a phenomenon exemplified by the discrepant effects of certain risk factors on the development versus the progression of osteoarthritis (OA) or rheumatoid arthritis (RA). We also discuss potential selection biases owing to differential loss to follow-up in RA and OA research, as well as those due to the depletion of susceptibles (prevalent user bias) and immortal time bias. The lesson remains that selection bias can be ubiquitous and, therefore, has the potential to lead the field astray. Thus, we conclude with suggestions to help investigators avoid such issues and limit the impact on future rheumatology research.
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