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血小板-淋巴细胞比值作为头颈部癌症预后预测因子的系统评价和荟萃分析。

Platelet-Lymphocyte Ratio as a Predictor of Prognosis in Head and Neck Cancer: A Systematic Review and Meta-Analysis.

机构信息

New York Head and Neck Institute, Lenox Hill Hospital, Northwell Health System, New York, New York, USA,

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA,

出版信息

Oncol Res Treat. 2019;42(12):665-677. doi: 10.1159/000502750. Epub 2019 Sep 24.

Abstract

The aim of this systematic review and meta-analysis was to investigate the prognostic utility of the platelet-to-lymphocyte ratio (PLR) in head and neck cancer. Medline (via PubMed), EMBASE, Scopus, and the Cochrane Library databases were searched from their inception to May 2017 for relevant literature. A systematic review and meta-analysis were performed to generate the pooled hazard ratios (HR) for overall survival (OS) and disease-specific survival (DSS). The study was conducted in accordance with the Cochrane Handbook and PRISMA guidelines. Risk of bias was assessed using the QUIPS tool. The logarithm of the HR with standard error was used as the primary summary statistic. Heterogeneity was assessed using Cochran's Q and Higgins' I2. A total of 13 studies were included in the final analysis, combining data from 4,541 patients. The results demonstrated that an elevated PLR was significantly associated with poorer OS [HR 1.85, 95% CI 1.35-2.52, p < 0.00001] and DSS [HR 1.57, 95% CI 1.25-1.97, p < 0.0001]. Significant heterogeneity was detected for the pooled end points. Subgroup analysis demonstrated reduction of heterogeneity by controlling for sample size and cutoff value. 95% prediction intervals showed wide ranges crossing the null threshold.

摘要

本系统评价和荟萃分析的目的是调查血小板与淋巴细胞比值(PLR)在头颈部癌症中的预后价值。从建库到 2017 年 5 月,通过 Medline(通过 PubMed)、EMBASE、Scopus 和 Cochrane Library 数据库检索相关文献。采用系统评价和荟萃分析生成总生存(OS)和疾病特异性生存(DSS)的汇总风险比(HR)。研究按照 Cochrane 手册和 PRISMA 指南进行。使用 QUIPS 工具评估偏倚风险。对数 HR 与标准误差用作主要汇总统计量。使用 Cochran's Q 和 Higgins' I2 评估异质性。最终分析共纳入 13 项研究,共纳入 4541 例患者的数据。结果表明,升高的 PLR 与较差的 OS [HR 1.85,95%CI 1.35-2.52,p < 0.00001] 和 DSS [HR 1.57,95%CI 1.25-1.97,p < 0.0001] 显著相关。汇总终点存在显著异质性。亚组分析表明,通过控制样本量和截止值可以降低异质性。95%预测区间范围很宽,跨越了零阈值。

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