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选择偏倚和疾病分类错误如何削弱了肌痛性脑脊髓炎/慢性疲劳综合征研究的有效性?

How have selection bias and disease misclassification undermined the validity of myalgic encephalomyelitis/chronic fatigue syndrome studies?

机构信息

London School of Hygiene and Tropical Medicine, UK.

出版信息

J Health Psychol. 2019 Oct;24(12):1765-1769. doi: 10.1177/1359105317695803. Epub 2017 Mar 1.

DOI:10.1177/1359105317695803
PMID:28810428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5581258/
Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome has been a controversial diagnosis, resulting in tensions between patients and professionals providing them with care. A major constraint limiting progress has been the lack of a 'gold standard' for diagnosis; with a number of imperfect clinical and research criteria used, each defining different, though overlapping, groups of people with myalgic encephalomyelitis or chronic fatigue syndrome. We review basic epidemiological concepts to illustrate how the use of more specific and restrictive case definitions could improve research validity and drive progress in the field by reducing selection bias caused by diagnostic misclassification.

摘要

肌痛性脑脊髓炎/慢性疲劳综合征的诊断一直存在争议,这导致了患者和为其提供治疗的专业人员之间的紧张关系。限制进展的一个主要制约因素是缺乏诊断的“金标准”;目前使用了一些不完美的临床和研究标准,每个标准都定义了不同但有重叠的肌痛性脑脊髓炎或慢性疲劳综合征患者群体。我们回顾了基本的流行病学概念,以说明使用更具体和更严格的病例定义如何通过减少诊断错误引起的选择偏差来提高研究的有效性并推动该领域的进展。

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本文引用的文献

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