Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Department of Biostatistics, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
BMJ Open. 2018 Apr 9;8(4):e017249. doi: 10.1136/bmjopen-2017-017249.
Although recurrence rate among cases of resected pancreatic cancer are as high as 85%, an optimal treatment for recurrent pancreatic cancer (RePC) has not been established. Previous evidence regarding RePC is scarce, and randomised controlled trials (RCTs) are particularly lacking. The evidence mapping (EM) method has been introduced as a tool intended to complement the conventional systematic review (SR) and meta-analysis (MA) and is suitable for this issue. This review aims to investigate the optimal treatment options for RePC, using a newly developed automatic EM tool.
All study types, including RCTs, non-randomised studies and other forms of observational studies will be included in the SR-EM. The Medline, Embase, Cochrane library and Scopus databases will be searched for reports of five treatment options for local and metastatic recurrences, including re-resection, chemotherapy, radiotherapy, best supportive care and other novel treatments, published from database inception to 30 April 2017. References from relevant studies will be searched manually. If meta-analysis is feasible, the primary outcome measure will be median overall survival. Two independent authors will select the studies and assess the risk of bias, and a third author will resolve discrepancies in consensus meeting. To visualise EM, we will use a novel web-based and open-access mapping programme, Plotting E-Map (PLOEM) (http://plotting-e-map.com). If eligible combinations of interventions for quantitative comparison are identified, we will conduct subgroup MAs using random-effect models and I statistics. Publication bias will be visualised using funnel plots.
This study will not use primary data, and therefore formal ethical approval is not required. The findings will be disseminated through peer-reviewed journals and committee conferences.
CRD42016049178.
尽管切除后的胰腺癌复发率高达 85%,但仍未确定治疗复发性胰腺癌(RePC)的最佳方法。既往关于 RePC 的证据有限,尤其缺乏随机对照试验(RCT)。证据图谱(EM)方法已被引入,旨在补充传统的系统评价(SR)和荟萃分析(MA),并适用于本问题。本综述旨在使用新开发的自动 EM 工具,调查 RePC 的最佳治疗选择。
SR-EM 将纳入所有研究类型,包括 RCT、非随机研究和其他形式的观察性研究。将检索 Medline、Embase、Cochrane 图书馆和 Scopus 数据库中有关五种局部和转移性复发治疗选择的报告,包括再切除术、化疗、放疗、最佳支持治疗和其他新疗法,检索时间范围为数据库建立至 2017 年 4 月 30 日。将手动检索相关研究的参考文献。如果 Meta 分析可行,主要结局指标将为中位总生存期。两名独立作者将选择研究并评估偏倚风险,第三名作者将在共识会议上解决分歧。为了可视化 EM,我们将使用一个新的基于网络的开放获取图谱程序 Plotting E-Map(PLOEM)(http://plotting-e-map.com)。如果确定了定量比较的干预措施的合格组合,我们将使用随机效应模型和 I 统计量进行亚组 MA。将使用漏斗图可视化发表偏倚。
本研究不使用原始数据,因此不需要正式的伦理批准。研究结果将通过同行评议期刊和委员会会议进行传播。
PROSPERO 注册号:CRD42016049178。