Hee Siew Wan, Mistry Dipesh, Friede Tim, Lamb Sarah E, Stallard Nigel, Underwood Martin, Patel Shilpa
Statistics and Epidemiology Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
BMC Musculoskelet Disord. 2021 Feb 16;22(1):191. doi: 10.1186/s12891-021-04028-8.
Proven treatments for low back pain, at best, only provide modest overall benefits. Matching people to treatments that are likely to be most effective for them may improve clinical outcomes and makes better use of health care resources.
We conducted an individual participant data meta-analysis of randomised controlled trials of three types of therapist delivered interventions for low back pain (active physical, passive physical and psychological treatments). We applied two statistical methods (recursive partitioning and adaptive risk group refinement) to identify potential subgroups who might gain greater benefits from different treatments from our individual participant data meta-analysis.
We pooled data from 19 randomised controlled trials, totalling 9328 participants. There were 5349 (57%) females with similar ratios of females in control and intervention arms. The average age was 49 years (standard deviation, SD, 14). Participants with greater psychological distress and physical disability gained most benefit in improving on the mental component scale (MCS) of SF-12/36 from passive physical treatment than non-active usual care (treatment effects, 4.3; 95% confidence interval, CI, 3.39 to 5.15). Recursive partitioning method found that participants with worse disability at baseline gained most benefit in improving the disability (Roland Morris Disability Questionnaire) outcome from psychological treatment than non-active usual care (treatment effects, 1.7; 95% CI, 1.1 to 2.31). Adaptive risk group refinement did not find any subgroup that would gain much treatment effect between psychological and non-active usual care. Neither statistical method identified any subgroups who would gain an additional benefit from active physical treatment compared to non-active usual care.
Our methodological approaches worked well and may have applicability in other clinical areas. Passive physical treatments were most likely to help people who were younger with higher levels of disability and low levels of psychological distress. Psychological treatments were more likely to help those with severe disability. Despite this, the clinical importance of identifying these subgroups is limited. The sizes of sub-groups more likely to benefit and the additional effect sizes observed are small. Our analyses provide no evidence to support the use of sub-grouping for people with low back pain.
已证实的腰痛治疗方法,充其量只能带来适度的总体益处。将患者与可能对其最有效的治疗方法相匹配,可能会改善临床结果并更好地利用医疗资源。
我们对三种由治疗师提供的腰痛干预措施(主动物理治疗、被动物理治疗和心理治疗)的随机对照试验进行了个体参与者数据荟萃分析。我们应用两种统计方法(递归划分和适应性风险组细化),从我们的个体参与者数据荟萃分析中识别可能从不同治疗中获得更大益处的潜在亚组。
我们汇总了19项随机对照试验的数据,共有9328名参与者。有5349名(57%)女性,对照组和干预组中的女性比例相似。平均年龄为49岁(标准差,SD,14)。心理困扰和身体残疾程度较高的参与者,在从被动物理治疗改善SF - 12/36的心理成分量表(MCS)方面,比非主动常规护理获益更多(治疗效果,4.3;95%置信区间,CI,3.39至5.15)。递归划分方法发现,基线残疾程度较差的参与者,在从心理治疗改善残疾(罗兰·莫里斯残疾问卷)结果方面,比非主动常规护理获益更多(治疗效果,1.7;95% CI,1.1至2.31)。适应性风险组细化未发现心理治疗和非主动常规护理之间有任何能获得显著治疗效果的亚组。与非主动常规护理相比,两种统计方法均未识别出任何能从主动物理治疗中额外获益的亚组。
我们的方法效果良好,可能适用于其他临床领域。被动物理治疗最有可能帮助年龄较轻、残疾程度较高且心理困扰程度较低的人。心理治疗更有可能帮助那些严重残疾的人。尽管如此,识别这些亚组的临床重要性有限。更可能获益的亚组规模以及观察到的额外效应量都很小。我们的分析没有证据支持对腰痛患者进行亚组划分。