A protocol for the reporting and methodological quality of robotic surgery case reports  

作　　者：Shuguo Niu Ming Liu Cuncun Lu Yuan Yuan Tingting Lu Long Ge Jinhui Tian 

机构地区：[1]Affiliated Traditional Chinese Medical Hospital of Wuwei,Wuwei Occupational College,Wuwei,733000,China [2]Evidence-Based Medicine Center,Lanzhou University,Lanzhou,730000,China [3]Gansu University of Traditional Chinese Medicine,Lanzhou,730000,China

出　　处：《TMR Clinical Research》2018年第2期48-53,共6页TMR临床研究

摘　　要：Background:Robotic surgery is a complex innovation intervention.Recently,the number of robotic surgery case reports is increasing,but there is unclear on its reporting and methodological quality.Methods:The PubMed database will be searched with high-specificity search strategy from Jan 1,2012 to Aug 1,2018 to identify relevant records.Microsoft Excel 2016 will be used to generate random number and to select 100 robotic surgery case reports according our eligibility criteria.A data extraction form will be used to extract relevant information including first author,year of publication,journal,etc.The CARE guideline and JBI checklist will be used to separately assess the reporting and methodological quality of included studies.The data extraction and assessment of quality will be completed by independent two authors and any disagreement will be resolved through discussion or consulting the third author.Stratified analyses will be conducted based on extracted information.Review Manager 5.3 software will be used to present the results of stratified analyses with Inverse-Variance random-effect model.Results:The study is ongoing and will be submitted to a peerreviewed journal.Conclusion:The present study will summarize evidence on the reporting and methodological quality of robotic surgery case reports,and provide reference for future case reports but not limited to robotic surgery.Ethics and dissemination:Ethical approval is not required because this study will not include any confidential personal data and interventions on the patients.The results of this study will be published in a peerreviewed publication.背景:机器人手术是一种复杂且新兴的外科干预方法。近来机器人手术病例报告数量不断增加,但其报告和方法质量尚不清楚。方法:本文采用高特异度检索策略检索PubMed数据库去收集机器人手术相关病例报告,检索时间限定为2012年1月1日至2018年8月1日。用Microsoft Excel 2016生成随机数,并根据我们的纳入标准选择100个合适的机器人手术病例报告。采用数据提取表提取包括第一作者姓名,发表年份,期刊名称等信息。CARE指南和JBI检查表将被分别用于评价纳入病例报告的报告质量和方法学质量。数据提取和质量评价将由独立的两位作者完成,任何分歧将通过讨论或咨询第三个作者解决。同时将根据提取的信息进行分层分析。使用Review Manager 5.3软件(倒方差随机模型)合并与呈现分层分析的结果。结果:该项研究目前正在进行中,未来会将研究结果发表在同行评审的期刊上。结论:本研究将提供机器人手术病例报告的报告质量与方法学质量的证据,并为今后的病例报告提供借鉴与参考,但不仅限于机器人手术病例报告的报告。伦理与传播:由于本研究是基于已发表的机器人手术病例报告文献,因此,不需要伦理审查和患者知情同意。该研究结果将会提交给同行评审的期刊发表。

关 键 词：Robotic Surgery Case Report Quality CARE guideline JBI. 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]