Ashoorion Vahid, Sadeghirad Behnam, Wang Li, Adili Anthony, Couban Rachel, Guyatt Gordon, Busse Jason
The Michael G. DeGroote Institute for Pain Research and Care, McMaster University, Ontario, Canada.
Isfahan Medical Education Research Centre, Isfahan University of Medical Sciences, Isfahan, Iran.
Can J Pain. 2019 Jul 30;3(2):10-15. doi: 10.1080/24740527.2019.1614881. eCollection 2019.
: Total knee arthroplasty (TKA) is a commonly performed procedure, primarily when knee joints have been damaged by progressive arthritis; however, over 20% of surgical patients develop persistent postsurgical pain (PPSP). We plan to conduct a systematic review and meta-analysis of factors associated with the development of PPSP following TKA. : We will include peer-reviewed cohort or case-control studies that explore, in an adjusted model, factors associated with the development of PPSP after TKA. We will identify eligible studies, in any language, by a systematic search of MEDLINE, EMBASE, CINAHL, AMED, Scopus, SPORTDiscus, and PsycINFO, from inception of each database. Pairs of reviewers will, independently and in duplicate, screen titles and abstracts of identified citations, review the full texts of potentially eligible studies, and extract information from eligible studies. When possible, we will pool estimates of association for all independent variables reported by more than one study and report both an adjusted odds ratio and the absolute risk increase and associated 95% confidence intervals (Cis). We will use the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to summarize the quality of evidence for all meta-analyses as high, moderate, low, or very low. : Our results will facilitate identification of patients at risk for the development of PPSP following TKA, highlight promising predictors for further study, and help guide the design of interventional studies to improve prognosis of high-risk patients.
全膝关节置换术(TKA)是一种常见的手术,主要用于膝关节因进行性关节炎而受损的情况;然而,超过20%的手术患者会出现持续性术后疼痛(PPSP)。我们计划对与TKA后PPSP发生相关的因素进行系统评价和荟萃分析。我们将纳入经同行评审的队列研究或病例对照研究,这些研究在调整模型中探讨与TKA后PPSP发生相关的因素。我们将通过对MEDLINE、EMBASE、CINAHL、AMED、Scopus、SPORTDiscus和PsycINFO从每个数据库创建之初进行系统检索,以识别任何语言的符合条件的研究。评审人员将独立且重复地筛选已识别文献的标题和摘要,审查潜在符合条件研究的全文,并从符合条件的研究中提取信息。如有可能,我们将汇总多项研究报告的所有自变量的关联估计值,并报告调整后的优势比、绝对风险增加以及相关的95%置信区间(CIs)。我们将使用推荐分级评估、制定和评价(GRADE)方法将所有荟萃分析的证据质量总结为高、中、低或极低。我们的结果将有助于识别TKA后有发生PPSP风险的患者,突出有前景的预测因素以供进一步研究,并有助于指导干预性研究的设计以改善高危患者的预后。