Methods of Therapeutic Evaluation of Chronic Diseases (METHODS) Team, INSERM, UMR 1153, Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Paris, France
Methods of Therapeutic Evaluation of Chronic Diseases (METHODS) Team, INSERM, UMR 1153, Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Paris, France.
Ann Rheum Dis. 2019 Apr;78(4):562-569. doi: 10.1136/annrheumdis-2018-214544. Epub 2019 Feb 12.
To assess to what extent time-dependent biases (ie, immortal time bias (ITB) and time-lag bias (TLB)) occur in the latest rheumatology observational studies, describe their main mechanisms and increase the awareness on this topic.
We searched PubMed for observational studies on rheumatic diseases published in leading medical journals in the last 5 years. Only studies with a time-to-event analysis exploring the association of one or more interventional strategies with an outcome were included. Each study was labelled as free from bias, at risk of TLB, at risk of misclassified ITB if the period of immortal time was incorrectly attributed to an intervention group, or at risk of excluded ITB if the immortal time was discarded from the analysis.
We included 78 papers. Most studies were performed in Europe or North America (46% each), were not industry funded (62%) and had a safety primary outcome (59%). In total, 13 (17%) studies were considered at risk of time-dependent biases. Among the studies at risk of ITB (n=8; 10%), in 5 (6%), waiting time to receive treatment was wrongly attributed to the treatment exposure group, which indicated misclassified ITB. Five (6%) studies were at risk of TLB: patients on conventional synthetic disease-modifying antirheumatic drugs (DMARD; first-line drugs) were compared with patients on biologic DMARDs (second or third-line drugs) without accounting for disease duration or prior medication use.
One in six comparative effectiveness observational studies published in leading rheumatology journals is potentially flawed by time-dependent biases.
评估最新的风湿病观察性研究中是否存在时依性偏倚(即 Immortal time bias(ITB)和时间滞后偏倚(TLB)),描述其主要机制,并提高对此问题的认识。
我们在过去 5 年内检索了在领先医学期刊上发表的风湿病观察性研究的 PubMed。仅纳入使用生存时间分析来探讨一种或多种干预策略与结局之间关联的研究。如果 Immortal time 被错误地归因于干预组,则将每个研究标记为存在 ITB 风险;如果 Immortal time 被从分析中排除,则标记为存在排除的 ITB 风险。如果 Immortal time 被错误地归因于干预组,则将每个研究标记为存在 ITB 风险;如果 Immortal time 被从分析中排除,则标记为存在排除的 ITB 风险。
我们纳入了 78 篇论文。大多数研究(46%)在欧洲或北美进行,非行业资助(62%),以安全性为主要结局(59%)。共有 13 项(17%)研究存在时依性偏倚风险。在存在 ITB 风险的研究中(n=8;10%),有 5 项(6%)将等待接受治疗的时间错误地归因于治疗暴露组,表明存在分类错误的 ITB。有 5 项(6%)研究存在 TLB 风险:将接受传统合成疾病修饰抗风湿药物(DMARD;一线药物)的患者与接受生物 DMARD 治疗的患者(二线或三线药物)进行比较,未考虑疾病持续时间或既往用药情况。
在领先的风湿病学杂志上发表的六分之一的比较有效性观察性研究可能存在时依性偏倚的缺陷。