The prognostic importance of the pan-immune-inflammation value (PIV) in lung cancer: a systematic review and meta-analysis

泛免疫炎症值(PIV)在肺癌预后中的重要性:系统评价和荟萃分析

阅读:1

Abstract

BACKGROUND: Preliminary studies suggest that pan-immune-inflammation value (PIV) has the potential to serve as a prognostic tool for lung cancer. However, existing studies are limited by inconsistent findings regarding the impact of high PIV on patient outcomes. To provide a more comprehensive assessment, we conducted a meta-analysis to clarify the prognostic value of PIV in lung cancer. METHODS: Two researchers independently searched the PubMed, Cochrane, Embase, and Web of Science databases for studies evaluating the associations between PIV and prognoses in lung cancer patients (up to July 15, 2025). Studies were included if they reported high versus low PIV and provided hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS), progression-free survival (PFS), etc. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). Pooled HRs and 95% CIs were calculated to determine the associations between PIV and patient prognosis. RESULTS: A total of ten studies comprising 1,969 patients were included. Meta-analyses demonstrated that high PIV was significantly associated with OS (HR =2.86, 95% CI: 2.23-3.65, P<0.001) and PFS (HR =2.06, 95% CI: 1.65-2.59, P<0.001) in lung cancer patients. In non-small cell lung cancer (NSCLC) patients, high PIV was significantly associated with worse OS (HR =2.76, 95% CI: 2.14-3.56, P<0.001) and PFS (HR =1.94, 95% CI: 1.55-2.42, P<0.001). In small cell lung cancer (SCLC) patients, even stronger associations were observed for OS (HR =3.47, 95% CI: 2.21-5.44, P<0.001) and PFS (HR =2.33, 95% CI: 1.63-3.33, P<0.001). Subgroup analyses further confirmed that PIV served as a critical prognostic marker for both OS and PFS. All studies were of high quality according to the NOS. CONCLUSIONS: PIV can serve as an independent prognostic biomarker for survival outcomes in lung cancer patients. Therefore, incorporating PIV into prognostic assessments may provide additional support for individualized treatment decision-making.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。