PDF(Pubmed)
Abstract：
Central nervous system tuberculosis (CNSTB) is a severe condition, sometimes associated with a poor prognosis. Early diagnosis of CNSTB remains challenging, considering that conventional methods lack sensitivity or might lead to certain side effects. Herein, we presented a protocol for a systematic review and meta-analysis to assess the diagnostic efficacy of MRI for CNSTB.
SinoMed, Wanfang database, China National Knowledge Infrastructure, Embase, the Cochrane Library and PubMed will be searched to identify studies reporting on the use of MRI in the diagnosis of CNSTB from database inception to December 2023. The following keywords will be applied: \'Intracranial tuberculosis\', \'Cerebral tuberculosis\', \'Central nervous system tuberculosis\', \'Spinal tuberculous arachnoiditis\' and \'Magnetic Resonance Imaging\'. Studies that evaluate the diagnostic accuracy of MRI for the diagnosis of CNSTB and report clear reference criteria will be included. Studies from which full true positive, false positive, false negative and true negative values cannot be extracted, those published in languages other than English or Chinese, abstracts not reporting the full text, and case reports will be excluded. Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) will be used to evaluate the methodological quality of each included study. Stata V.15.0 and RevMan V.5.3 will be used to perform a meta-analysis and generate forest plots and summary receiver operating characteristic curves. In case of significant heterogeneity between studies, possible sources of heterogeneity will be explored through subgroup and meta-regression analyses.
This research is based on public databases and does not require ethical approval. Results will be submitted for publication in a peer-reviewed journal.
CRD42023415690.
SinoMed, Wanfang database, China National Knowledge Infrastructure, Embase, the Cochrane Library and PubMed will be searched to identify studies reporting on the use of MRI in the diagnosis of CNSTB from database inception to December 2023. The following keywords will be applied: \'Intracranial tuberculosis\', \'Cerebral tuberculosis\', \'Central nervous system tuberculosis\', \'Spinal tuberculous arachnoiditis\' and \'Magnetic Resonance Imaging\'. Studies that evaluate the diagnostic accuracy of MRI for the diagnosis of CNSTB and report clear reference criteria will be included. Studies from which full true positive, false positive, false negative and true negative values cannot be extracted, those published in languages other than English or Chinese, abstracts not reporting the full text, and case reports will be excluded. Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) will be used to evaluate the methodological quality of each included study. Stata V.15.0 and RevMan V.5.3 will be used to perform a meta-analysis and generate forest plots and summary receiver operating characteristic curves. In case of significant heterogeneity between studies, possible sources of heterogeneity will be explored through subgroup and meta-regression analyses.
This research is based on public databases and does not require ethical approval. Results will be submitted for publication in a peer-reviewed journal.
CRD42023415690.
摘要：
背景：中枢神经系统结核（CNSTB）是一种严重的疾病，有时与预后不良有关。CNSTB的早期诊断仍然具有挑战性，考虑到传统方法缺乏敏感性或可能导致某些副作用。在这里，我们提出了一项系统综述和荟萃分析方案,以评估MRI对CNSTB的诊断效能.
方法：SinoMed，万方数据库，中国国家知识基础设施，Embase,我们将搜索Cochrane图书馆和PubMed,以确定报告从数据库开始到2023年12月在CNSTB诊断中使用MRI的研究.将应用以下关键字：\'颅内结核\'，\'脑结核\',\'中枢神经系统结核\',“脊柱结核性蛛网膜炎”和“磁共振成像”。将包括评估MRI诊断CNSTB的诊断准确性并报告明确参考标准的研究。完全真正积极的研究，假阳性,无法提取假阴性和真负值，以英语或中文以外的语言出版的，没有报告全文的摘要，病例报告将被排除。诊断准确性研究质量评估（QUADAS-2）将用于评估每个纳入研究的方法学质量。StataV.15.0和RevManV.3.3将用于进行荟萃分析，并生成森林图和汇总接收器工作特征曲线。在研究之间存在显著异质性的情况下，异质性的可能来源将通过亚组和荟萃回归分析进行探索。
背景：这项研究基于公共数据库，不需要道德批准。结果将提交在同行评审的期刊上发表。
■CRD42023415690。
方法：SinoMed，万方数据库，中国国家知识基础设施，Embase,我们将搜索Cochrane图书馆和PubMed,以确定报告从数据库开始到2023年12月在CNSTB诊断中使用MRI的研究.将应用以下关键字：\'颅内结核\'，\'脑结核\',\'中枢神经系统结核\',“脊柱结核性蛛网膜炎”和“磁共振成像”。将包括评估MRI诊断CNSTB的诊断准确性并报告明确参考标准的研究。完全真正积极的研究，假阳性,无法提取假阴性和真负值，以英语或中文以外的语言出版的，没有报告全文的摘要，病例报告将被排除。诊断准确性研究质量评估（QUADAS-2）将用于评估每个纳入研究的方法学质量。StataV.15.0和RevManV.3.3将用于进行荟萃分析，并生成森林图和汇总接收器工作特征曲线。在研究之间存在显著异质性的情况下，异质性的可能来源将通过亚组和荟萃回归分析进行探索。
背景：这项研究基于公共数据库，不需要道德批准。结果将提交在同行评审的期刊上发表。
■CRD42023415690。
