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首页> 外文期刊>Medicine. >Prognostic significance of blood inflammatory biomarkers NLR, PLR, and LMR in cancer—A protocol for systematic review and meta-analysis
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Prognostic significance of blood inflammatory biomarkers NLR, PLR, and LMR in cancer—A protocol for systematic review and meta-analysis

机译:血液炎症生物标志物NLR,PLR和LMR在癌症中的预后意义 - 一种系统审查和荟萃分析的协议

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摘要

Background: The neutrophil-lymphocyte-ratio, platelet-lymphocyte-ratio, and monocyte-lymphocyte-ratio have been explored as a simple, inexpensive, and effective method for cancer prognosis. However, there are no studies that have investigated the comparative utility of these markers, in multiple cancers. Methods: The preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) guidelines were used to design this meta-analysis protocol . The final study will also be conducted under the PRISMA guidelines for systematic reviews and meta-analyses. The core bibliographic database search will be carried out by 2 reviewers working individually, with each conducting an initial screening based on titles and abstracts. The shortlisted articles will be selected for review and quantitative analysis, based on predefined inclusion and exclusion criteria. Study characteristics, relevant clinicopathological characteristics, and statistical data required for meta-analysis (hazard ratios [HRs] and 95% confidence intervals [CIs]) will be extracted and compiled into a MS Excel datasheet. Meta-analysis will be performed, using a random-effects model, and the results (pooled HR and 95% CI) will be presented in the form of a forest plot. Publication bias will also be assessed by use of Egger bias indicator test and funnel plot symmetry. If statistical data from included studies is insufficient, a qualitative literature review will be pursued. PROSPERO registration: PROSPERO CRD42019121008.
机译:背景:中性粒细胞淋巴细胞 - 比例,血小板淋巴细胞 - 术率和单核细胞淋巴细胞比例已被探索为癌症预后的简单,廉价,有效的方法。然而,没有研究在多种癌症中研究了这些标志物的比较效用。方法:用于系统审查和META分析协议(PRISMA-P)指南的首选报告项目用于设计该荟萃分析协议。还将在Prisma系统评论和荟萃分析的指南下进行最终研究。核心书目数据库搜索将由2名审稿人单独工作,每个审核员都在进行基于标题和摘要的初始筛查。根据预定义的包含和排除标准,将选择入读的文章进行审查和定量分析。研究特征,相关临床病理特征和荟萃分析所需的统计数据(危险比率[HRS]和95%置信区间[CIS])将被提取并编制到MS Excel数据表中。使用随机效应模型进行META分析,结果(汇集HR和95%CI)将以森林图的形式呈现。通过使用Egger偏置指示器测试和漏斗绘图对称,还将评估出版物偏差。如果来自于内的研究的统计数据不足,则会追求定性文献综述。 Prospero注册:Prospero CRD42019121008。

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