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预测骨关节炎患者对局部非甾体抗炎药的反应:一项随机对照试验的个体患者数据荟萃分析。

Predicting response to topical non-steroidal anti-inflammatory drugs in osteoarthritis: an individual patient data meta-analysis of randomized controlled trials.

机构信息

Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham, UK.

BioPhysics Pharma, Beverly, MA, USA.

出版信息

Rheumatology (Oxford). 2020 Sep 1;59(9):2207-2216. doi: 10.1093/rheumatology/keaa113.

Abstract

OBJECTIVES

To identify predictors of the specific (difference between treatment and placebo) and overall (change from baseline in treatment arm) treatment effects of topical NSAIDs in OA.

METHODS

Randomized controlled trials (RCTs) of topical NSAIDs in OA were identified through systematic literature searching and inquiry to pharmaceutical companies. The raw, de-identified data were analysed in one-stage individual patient data meta-analysis (IPD-MA). Negative values for treatment effects (0-100 scale) indicate pain reduction.

RESULTS

Of 63 eligible RCTs, 15 provided IPD (n = 1951 on topical NSAID), including 11 placebo-controlled RCTs (n = 1587 on topical NSAIDs, 1553 on placebo). Seven potential predictors of response were examined. Topical NSAIDs were superior to placebo [-6 (95% CI -9, -4)], with a small, but statistically significant greater effect in women than men [difference -4 (95% CI -8, -1)]. The overall treatment effect was 4-fold larger than the specific effect [-25 (95% CI -31, -19)] and increased with greater baseline pain severity (P < 0.001). No differences in efficacy were observed for age, BMI, features of inflammation, duration of complaints or radiographic OA severity.

CONCLUSION

Topical NSAIDs are effective for OA pain relief. Greater overall pain relief in individuals with more baseline pain might be due to contextual and non-specific effects, including regression to the mean. Additional factors that have been linked either mechanistically or through empirical evidence to outcomes should be selected for inclusion across future RCTs in order to facilitate the identification of response predictors through IPD-MA.

摘要

目的

确定局部 NSAIDs 治疗骨关节炎(OA)的特定(治疗与安慰剂之间的差异)和总体(治疗组从基线变化)疗效的预测因素。

方法

通过系统文献检索和向制药公司查询,确定了局部 NSAIDs 治疗 OA 的随机对照试验(RCT)。对原始、去识别数据进行了一项基于个体患者数据的荟萃分析(IPD-MA)。治疗效果的负值(0-100 量表)表示疼痛减轻。

结果

在 63 项合格 RCT 中,有 15 项提供了 IPD(局部 NSAID 组 n=1951),包括 11 项安慰剂对照 RCT(局部 NSAIDs 组 n=1587,安慰剂组 n=1553)。共检验了 7 个潜在的反应预测因素。局部 NSAIDs 优于安慰剂 [-6(95%CI -9,-4)],女性比男性的效果略大,但具有统计学意义 [差异 -4(95%CI -8,-1)]。总体治疗效果是特定效果的 4 倍[-25(95%CI -31,-19)],且随基线疼痛严重程度增加而增加(P<0.001)。年龄、BMI、炎症特征、症状持续时间或放射学 OA 严重程度等因素对疗效无差异。

结论

局部 NSAIDs 对 OA 疼痛缓解有效。基线疼痛较重的个体整体疼痛缓解更大,可能是由于背景和非特异性效应,包括回归均值。在未来的 RCT 中,应选择与机制相关或通过经验证据与结果相关的其他因素,以便通过 IPD-MA 确定反应预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d97/7449808/32c5d5b09077/keaa113f1.jpg

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