Department of Anesthesiology, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Osteoarthritis Cartilage. 2011 May;19(5):483-92. doi: 10.1016/j.joca.2011.02.020. Epub 2011 Mar 23.
Treatment response in randomized clinical trials (RCT) of osteoarthritis (OA) has been assessed by multiple primary and secondary outcomes, including pain, function, patient and clinician global measures of status and response to treatment, and various composite and responder measures. Identifying outcome measures with greater responsiveness to treatment is important to increase the assay sensitivity of RCTs.
To assess and compare the responsiveness of different outcome measures used in placebo-controlled RCTs of OA.
The Resource for Evaluating Procedures and Outcomes of Randomized Trials database includes placebo-controlled clinical trials of pharmacologic treatments (oral, topical, or transdermal) for OA identified from a systematic literature search of RCTs published or publicly available before August 5, 2009, which was conducted using PubMed, the Cochrane collaboration, publicly-available websites, and reference lists of retrieved publications.
Data collected included: (1) pain assessed with single-item ratings and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale; (2) patient and clinician global measures of status, improvement, and treatment response; (3) function assessed by the WOMAC function subscale; (4) stiffness assessed by the WOMAC stiffness subscale; and (5) the WOMAC and Lequesne Algofunctional Index composite outcomes. Measures were grouped according to the total number of response categories (i.e., <10 categories or ≥10 categories). The treatment effect (difference in mean change from baseline between the placebo and active therapy arms) and standardized effect size (SES) were estimated for each measure in a meta-analysis using a random effects model.
There were 125 RCTs with data to compute the treatment effect for at least one measure; the majority evaluated non-steroidal anti-inflammatory drugs (NSAIDs), followed by opioids, glucosamine and/or chondroitin, and acetaminophen. In general, the patient-reported pain outcome measures had comparable responsiveness to treatment as shown by the estimates of treatment effects and SES. Treatment effects and SESs were generally higher for patient-reported global measures compared with clinician-rated global measures but generally similar for the WOMAC and Lequesne composite measures.
Comparing different outcome measures using meta-analysis and selecting those that have the greatest ability to identify efficacious treatments may increase the efficiency of clinical trials of treatments for OA. Improvements in the quality of the reporting of clinical trial results are needed to facilitate meta-analyses to evaluate the responsiveness of outcome measures and to also address other issues related to assay sensitivity.
在骨关节炎(OA)的随机临床试验(RCT)中,通过多种主要和次要结局来评估治疗反应,包括疼痛、功能、患者和临床医生对病情和治疗反应的整体评估以及各种综合和应答措施。确定对治疗更敏感的结局测量指标对于提高 RCT 的检测灵敏度非常重要。
评估和比较 OA 安慰剂对照 RCT 中使用的不同结局测量指标的反应性。
评估随机试验结果和程序资源数据库包括从 RCT 系统文献检索中确定的药物治疗(口服、局部或透皮)治疗 OA 的安慰剂对照临床试验,该检索于 2009 年 8 月 5 日之前使用 PubMed、Cochrane 合作组织、公开网站和检索文献的参考文献进行。
收集的数据包括:(1)使用单项评分和西部安大略省和麦克马斯特大学骨关节炎指数(WOMAC)疼痛量表评估的疼痛;(2)患者和临床医生对病情、改善和治疗反应的整体评估;(3)WOMAC 功能量表评估的功能;(4)WOMAC 僵硬量表评估的僵硬;(5)WOMAC 和 Lequesne 功能指数综合结局。根据应答类别总数(<10 个类别或≥10 个类别)对措施进行分组。使用随机效应模型在荟萃分析中为每个措施估算治疗效果(安慰剂和活性治疗组之间从基线变化的平均差异)和标准化效应大小(SES)。
有 125 项 RCT 提供了至少一种措施的治疗效果计算数据;大多数评估了非甾体抗炎药(NSAIDs),其次是阿片类药物、氨基葡萄糖和/或软骨素以及对乙酰氨基酚。一般来说,患者报告的疼痛结局测量指标对治疗的反应性与治疗效果和 SES 的估计相当。与临床医生评估的整体测量指标相比,患者报告的整体测量指标的治疗效果和 SES 通常更高,但 WOMAC 和 Lequesne 综合测量指标通常相似。
使用荟萃分析比较不同的结局测量指标,并选择最能识别有效治疗方法的指标,可能会提高 OA 治疗临床试验的效率。需要改进临床试验结果报告的质量,以促进荟萃分析评估结局测量指标的反应性,并解决与检测灵敏度相关的其他问题。