Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China.
Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Information Center, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Crit Rev Oncol Hematol. 2024 Dec;204:104525. doi: 10.1016/j.critrevonc.2024.104525. Epub 2024 Oct 5.
Meta-analyses have reported conflicting data on the whole blood cell count (WBCC) derived indexes (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], and lymphocyte-to-monocyte ratio [LMR]) and cancer prognosis. However, the strength and quality of this evidence has not been quantified in aggregate. To grade the evidence from published meta-analyses of cohort studies that investigated the associations between NLR, PLR, and LMR and cancer prognosis. A total of 694 associations from 224 articles were included. And 219 (97.8%) articles rated as moderate-to-high quality according to AMSTAR. There were four associations supported by convincing evidence. Meanwhile, 165 and 164 associations were supported by highly suggestive and suggestive evidence, respectively. In this umbrella review, we summarized the existing evidence on the WBCC-derived indexes and cancer prognosis. Due to the direction of effect sizes is not completely consistent between studies, further research is needed to assess causality and provide firm evidence.
荟萃分析报告了全血细胞计数（WBCC）衍生指标（中性粒细胞与淋巴细胞比值[NLR]、血小板与淋巴细胞比值[PLR]和淋巴细胞与单核细胞比值[LMR]）与癌症预后之间的相互矛盾的数据。然而，尚未对汇总的证据的强度和质量进行量化。对研究 NLR、PLR 和 LMR 与癌症预后之间关联的队列研究的已发表荟萃分析的证据进行分级。共有 224 篇文章的 694 项关联被纳入。根据 AMSTAR，219 篇（97.8%）文章被评为中高度质量。有四项关联有令人信服的证据支持。同时，分别有 165 项和 164 项关联有高度提示性和提示性证据支持。在这项伞式综述中，我们总结了现有关于 WBCC 衍生指标与癌症预后的证据。由于研究之间的效应大小方向不完全一致，需要进一步研究来评估因果关系并提供确凿的证据。
