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慢性非关节炎性舟月关节分离的治疗:一项系统评价

The management of chronic non-arthritic scapholunate dissociation: a systematic review.

作者信息

Naqui Zafar, Khor Wee Sim, Mishra Anuj, Lees Vivien, Muir Lindsay

机构信息

1 Manchester Hand Centre, Salford Royal NHS Foundation Trust, Salford, UK.

2 Manchester Hand Centre, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK.

出版信息

J Hand Surg Eur Vol. 2018 May;43(4):394-401. doi: 10.1177/1753193417734990. Epub 2017 Oct 12.

Abstract

UNLABELLED

A systematic review was conducted to identify the best management for chronic scapholunate dissociation. EMBASE, MEDLINE, and CENTRAL were searched from 1965-2016. A narrative synthesis was performed. One thousand, one hundred and ninety-one citations were identified, of which 17 had final analysis. In all interventions, the pain score at 2 years reduced from 6.0 to 2.8 with similar effect from capsulodesis and tenodesis techniques. Overall there was an 18% loss of flexion arc. Radial to ulnar arc improved in capsulodesis (+19%; n = 45) and worsened in tenodesis (-6%; n = 45). Grip strength was better in capsulodesis (+31%; n = 64 versus + 11%; n = 56). There was insufficient evidence to link radiological outcome with clinical outcome. Rates of complications (20%) and CRPS (3.8%) were high, with implications for patient consent. Due to heterogeneity in data collection, the lack of comparative studies and short-term follow-up, no conclusion regarding the superiority of a single technique was possible. Longer term comparative studies are required, as are natural history studies. A minimum data set has been advised.

LEVEL OF EVIDENCE

II.

摘要

未标注

进行了一项系统评价以确定慢性舟月骨分离的最佳治疗方法。检索了1965年至2016年期间的EMBASE、MEDLINE和CENTRAL数据库。进行了叙述性综合分析。共识别出1191篇引文,其中17篇进行了最终分析。在所有干预措施中,2年时的疼痛评分从6.0降至2.8,关节囊固定术和腱固定术的效果相似。总体而言,屈曲弧度丧失了18%。关节囊固定术的桡尺侧弧度改善(+19%;n = 45),腱固定术则恶化(-6%;n = 45)。关节囊固定术的握力更好(+31%;n = 64对比+11%;n = 56)。没有足够的证据将放射学结果与临床结果联系起来。并发症发生率(20%)和复杂性区域疼痛综合征(CRPS)发生率(3.8%)较高,这对患者的知情同意有影响。由于数据收集的异质性、缺乏比较研究以及短期随访,无法得出关于单一技术优越性的结论。需要进行长期比较研究以及自然史研究。建议建立一个最小数据集。

证据级别

II级。

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