类风湿关节炎纵向复合结果试验中数据缺失模式和机制的特征。

IF 3.4 2区 医学 Q2 RHEUMATOLOGY Therapeutic Advances in Musculoskeletal Disease Pub Date : 2022-09-17 eCollection Date: 2022-01-01 DOI:10.1177/1759720X221114103
Fowzia Ibrahim, Brian D M Tom, David L Scott, Andrew Toby Prevost
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引用次数: 0

摘要

背景:28个关节疾病活动度评分(DAS28)等综合指标是类风湿性关节炎(RA)试验的主要结果。DAS28 在连续测量中结合了四个不同的组成部分。当其中一个或多个部分缺失时,在中期或试验终点评估时也会缺失总体综合评分:本研究考察了一项纵向 RA 试验中的数据缺失模式和机制,以评估在分析综合结果时如何最好地处理数据缺失:肿瘤坏死因子抑制剂对抗联合强化疗法(TACIT)试验是一项开放标签、务实随机多中心双臂非劣效性研究。对患者进行了为期12个月的随访,每月测量一次综合结果及其组成部分。活动性RA患者被随机分配使用传统的疾病调节药物(cDMARDs)或肿瘤坏死因子-α抑制剂(TNFis):方法:利用TACIT试验来探讨综合结果DAS28的数据缺失程度。通过图表研究了各组成部分和综合结果的数据缺失模式。纵向多变量逻辑回归分析评估了随访期间的数据缺失机制:255 名患者接受了随机治疗:在 12 个月时,59/205(29%)名患者未观察到综合结果,146/205(71%)名患者观察到 DAS28 结果;然而,34/146 名患者有一项或多项中间评估数据缺失。我们观察到数据缺失的混合模式,尤其是综合结果缺失,原因是一个组成部分缺失,而不是患者未就诊。年龄和性别预测了缺失的成分,有力地证明了缺失的观察结果不太可能是完全随机缺失(MCAR):无论结果变量是否为复合结果,研究人员都应对最终和中间时间点的数据缺失模式和机制进行详细评估。此外,还需要评估仅在里程碑评估时提供数据的患者对治疗估计的影响。
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Characterization of missing data patterns and mechanisms in longitudinal composite outcome trial in rheumatoid arthritis.

Background: Composite measures, like the Disease Activity Score for 28 joints (DAS28), are key primary outcomes in rheumatoid arthritis (RA) trials. DAS28 combines four different components in a continuous measure. When one or more of these components are missing the overall composite score is also missing at intermediate or trial endpoint assessments.

Objectives: This study examined missing data patterns and mechanisms in a longitudinal RA trial to evaluate how best to handle missingness when analysing composite outcomes.

Design: The Tumour-Necrosis-Factor Inhibitors against Combination Intensive Therapy (TACIT) trial was an open label, pragmatic randomized multicentre two arm non-inferiority study. Patients were followed up for 12 months, with monthly measurement of the composite outcome and its components. Active RA patients were randomized to conventional disease modifying drugs (cDMARDs) or Tumour Necrosis Factor-α inhibitors (TNFis).

Methods: The TACIT trial was used to explore the extent of missing data in the composite outcome, DAS28. Patterns of missing data in components and the composite outcome were examined graphically. Longitudinal multivariable logistic regression analysis assessed missing data mechanisms during follow-up.

Results: Two hundred and five patients were randomized: at 12 months 59/205 (29%) had unobserved composite outcome and 146/205 (71%) had an observed DAS28 outcome; however, 34/146 had one or more intermediate assessments missing. We observed mixed missing data patterns, especially for the missing composite outcome due to one component missing rather than patient not attending thier visit. Age and gender predicted missingness components, providing strong evidence the missing observations were unlikely to be Missing Completely at Random (MCAR).

Conclusion: Researchers should undertake detailed evaluations of missing data patterns and mechanisms at the final and intermediate time points, whether or not the outcome variable is a composite outcome. In addition, the impact on treatment estimates in patients who only provide data at milestone assessments need to be assessed.

Trial registration isrctn number: 37438295.

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来源期刊
CiteScore
6.80
自引率
4.80%
发文量
132
审稿时长
18 weeks
期刊介绍: Therapeutic Advances in Musculoskeletal Disease delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of musculoskeletal disease.
期刊最新文献
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