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淋巴结比率在宫颈癌中的预后价值:一项荟萃分析。

Prognostic value of lymph node ratio in cervical cancer: A meta-analysis.

机构信息

Department of Clinical Laboratory, Yanbian University hospital, Yanji, Jilin Province, China.

Center of Morphological Experiment, Medical College of Yanbian University, Yanji, Jilin Province, China.

出版信息

Medicine (Baltimore). 2022 Oct 21;101(42):e30745. doi: 10.1097/MD.0000000000030745.

Abstract

BACKGROUND

The role of the lymph node ratio (LNR) in the existing tumor node metastasis classification system should be verified as one of the prognosis prediction factors. This work evaluated LNR's performance in predicting cervical cancer (CC) prognosis through a meta-analysis.

METHOD

Related studies were retrieved from the Cochrane Library, EMBASE, and PubMed databases. The language was restricted to English. The combined hazard ratios (HRs) were utilized to analyze the prognostic value of LNR.

RESULTS

Our study included 8 articles with 3325 subjects published after 2015. Based on our analysis, high LNR was the adverse prognostic factor for overall survival (OS, HR = 1.45; 95% CI = 1.23-1.73; P = .238) and disease-free survival (DFS, HR = 2.69; 95% CI = 1.98-3.66; P = .597) among the CC cases. Furthermore, as revealed by subgroup analysis, in CC patients, median LNR of about 0.0625 and 0.066 served as the prominent risk factor for DFS and OS.

CONCLUSIONS

The current work illustrates that elevated LNR is related to the dismal prognosis of CC. More well-designed clinical studies are warranted for assessing whether LNR is a factor independently predicting the prognosis of CC.

摘要

背景

在现有的肿瘤淋巴结转移分类系统中,淋巴结比率(LNR)的作用应被验证为预后预测因素之一。本研究通过荟萃分析评估 LNR 预测宫颈癌(CC)预后的性能。

方法

从 Cochrane Library、EMBASE 和 PubMed 数据库中检索相关研究。语言限制为英语。采用合并风险比(HR)分析 LNR 的预后价值。

结果

我们的研究纳入了 8 篇 2015 年后发表的包含 3325 例患者的文章。根据我们的分析,高 LNR 是 CC 患者总生存(OS)(HR=1.45;95%CI=1.23-1.73;P=0.238)和无病生存(DFS)(HR=2.69;95%CI=1.98-3.66;P=0.597)不良预后的危险因素。此外,亚组分析显示,在 CC 患者中,中位数 LNR 约为 0.0625 和 0.066 与 DFS 和 OS 明显相关。

结论

目前的研究表明,LNR 升高与 CC 的不良预后有关。需要更多精心设计的临床研究来评估 LNR 是否是独立预测 CC 预后的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4506/9592518/5ea0750357ee/medi-101-e30745-g001.jpg

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