Evidence map›Paper›PMID 40551126›Full record

SynthesisWorld journal of surgical oncology2025

Pan-immune-inflammation value in lung cancer: prognostic significance and implications for therapeutic guidance - a systematic review and meta-analysis.

Shuailing Hong, Jingting Liu, Jun Cheng, Chunyan Meng, Baoqing Liu, Jianhua Liao

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shuailing Hong *Department of Surgery, Zhejiang Hospital, 12 Lingyin Road, Hangzhou, 310013, Zhejiang, China.
Jingting Liu *Department of Health Management, Sir Run Run Shaw International Medical Centre, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China.
Jun ChengDepartment of Surgery, Zhejiang Hospital, 12 Lingyin Road, Hangzhou, 310013, Zhejiang, China.
Chunyan MengDepartment of Surgery, Zhejiang Hospital, 12 Lingyin Road, Hangzhou, 310013, Zhejiang, China.
Baoqing LiuDepartment of Surgery, Zhejiang Hospital, 12 Lingyin Road, Hangzhou, 310013, Zhejiang, China.
Jianhua LiaoDepartment of Surgery, Zhejiang Hospital, 12 Lingyin Road, Hangzhou, 310013, Zhejiang, China. ljhsywzh@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer is a major global health issue with high variability in incidence and mortality. However, reliable predictive biomarkers for lung cancer prognosis remain lacking. The pan-immune-inflammation value (PIV) has emerged as a promising prognostic tool by reflecting systemic immune and inflammatory responses.

methodsA meta-analysis was performed using data from Web of Science, PubMed, and PMC up to April 2025. Clinical studies involving lung cancer patients reporting hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS) were included.

resultsA total of eleven articles met the inclusion criteria, encompassing 3,290 lung cancer patients. High PIV levels were consistently associated with poorer OS (HR = 2.364, 95% CI = 2.033-2.749, P < 0.001) and PFS (HR = 1.975, 95% CI = 1.704-2.290, P < 0.001). Notably, PIV predicted both OS and PFS outcomes across various treatment strategies, including PD-1/PD-L1 inhibitor therapy (OS: HR = 2.372, 95% CI = 1.867-3.013, P < 0.001; PFS: HR = 1.830, 95% CI = 1.494-2.241, P < 0.001). Additionally, subgroup analyses showed that PIV's prognostic value remained consistent across different lung cancer types, analytical methods, PIV cutoff values, sample sizes, study regions, and follow-up durations (P < 0.001). Sensitivity analyses confirmed the stability of these findings, with minimal heterogeneity across studies.

conclusionPIV is a robust prognostic marker for lung cancer, reliably predicting both OS and PFS. It offers valuable insights across various treatment strategies, including immunotherapy, and could enhance clinical decision-making by providing a cost-effective and reliable tool for evaluating patient prognosis.

Indexed as

Biomarkers, TumorInflammationLung NeoplasmsHumansImmune Checkpoint InhibitorsPrognosisSurvival RateBiomarkers, TumorImmune Checkpoint InhibitorsLung cancerMeta-analysisPan-immune-inflammation valuePrognostic biomarker

Identifiers

PMID40551126
PMCPMC12186384

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.