医学
梅德林
数据提取
荟萃分析
协议(科学)
随机对照试验
系统回顾
心理干预
物理疗法
临床试验
替代医学
外科
精神科
内科学
病理
政治学
法学
作者
Lea Lanter,Niklas Rutsch,Sebastian Kreuzer,Christoph E. Albers,Peter Obid,Jonathan Henssler,Gabriel Torbahn,Martín Müller,Sebastian F. Bigdon
出处
期刊:BMJ Open
[BMJ]
日期:2023-12-01
卷期号:13 (12): e078972-e078972
标识
DOI:10.1136/bmjopen-2023-078972
摘要
Introduction There is no international consensus on how to treat thoracolumbar burst fractures (TLBFs) without neurological deficits. The planned systematic review with network meta-analyses (NMA) aims to compare the effects on treatment outcomes, focusing on midterm health-related quality of life (HRQoL). Methods and analysis We will conduct a comprehensive and systematic literature search, identifying studies comparing two or more treatment modalities. We will search MEDLINE, EMBASE, Google Scholar, Scopus and Web of Science from January 2000 until July 2023 for publications. We will include (randomised and non-randomised) controlled clinical trials assessing surgical and non-surgical treatment methods for adults with TLBF. Screening of references, data extraction and risk of bias (RoB) assessment will be done independently by two reviewers. We will extract relevant studies, participants and intervention characteristics. The RoB will be assessed using the revised Cochrane RoB V.2.0 tool for randomised trials and the Newcastle-Ottawa Scale for controlled trials. The OR for dichotomous data and standardised mean differences for continuous data will be presented with their respective 95% CIs. We will conduct a random-effects NMA to assess the treatments and determine the superiority of the therapeutic approaches. Our primary outcomes will be midterm (6 months to 2 years after injury) overall HRQoL and pain. Secondary outcomes will include radiological or clinical findings. We will present network graphs, forest plots and relative rankings on plotted rankograms corresponding to the treatment rank probabilities. The ranking results will be represented by the area under the cumulative ranking curve. Analyses will be performed in Stata V.16.1 and R. The quality of the evidence will be evaluated according to the Grading of Recommendations, Assessment, Development and Evaluations framework. Ethics and dissemination Ethical approval is not required. The research will be published in a peer-reviewed journal.
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