Evidence map›Paper›PMID 38312571›Full record

ArticleHeliyon2024

Prognostic significance of pan-immune-inflammation value (PIV) in nasopharyngeal carcinoma patients.

Na Zhang, Tao Hou, Sujuan Zhang, Jie Ling, Shun Jiang, Yangchun Xie, Xianling Liu, Chunhong Hu, Yuhua Feng

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  11. Pan-immune-inflammation value: a new prognostic index in operative laryngeal and pharyngeal carcinomas.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  12. Prognostic and predictive significance of the pan-immune-inflammation value in endometrial cancer patients undergoing adjuvant therapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
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  17. Prognostic Effect of pan-Immune-Inflammation Value Indices in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

9 authors at 1 institution in 1 country.

Na ZhangHunan Key Laboratory of Molecular Precision Medicine, Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Tao HouDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Sujuan ZhangDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Jie LingDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Shun JiangDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Yangchun XieDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Xianling LiuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Chunhong HuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Yuhua FengDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blood-based immune-inflammation indexes have been widely used to predict survival in a variety of cancers. In this research, we seeked to evaluate a novel immune-inflammation marker, named the pan-immune-inflammation value (PIV), in patients with nasopharyngeal carcinoma (NPC) undergoing definitive radiotherapy. Methods: A group of 377 patients with NPC was retrospectived analyzed. Clinical data and laboratory data were collected. Receiver operating characteristic (ROC) curve analysis was performed in order to determine the optimal PIV cut-off value. Survival curves were estimated by Kaplan-Meier method, and prognostic variables were identified using a Cox regression model. Additionally, we developed a nomogram and assessed its acuracy using the concordance index (C-index) and a calibration curve. Results: The optimal PIV cut-off value was 146.24 according to ROC analysis. High PIV was related to poorer Eastern Cooperative Oncology Group Performance Status (ECOG PS) score (p = 0.017), more advanced T (p<0.001) and clinical stages (p = 0.024). In univariate analysis, older Age, poorer ECOG PS, higher Epstein-Barr virus DNA (EBV-DNA), advanced T, N and clinical stage, and higher PIV levels were related to patients' poorer overall survival (OS). Poorer ECOG PS, higher EBV-DNA, later T stage, later clinical stage, and higher PIV were associated with patients' poorer progression free survival (PFS). Male sex and later T stage were associated with patients' poorer locoregional recurrence free survival (LRRFS). Poorer ECOG PS, higher EBV-DNA, later T stage, later clinical stage, and higher PIV were associated with patients' poorer distant metastasis free survival (DMFS). Multivariate analysis demonstrated that PIV was an independent prognostic index for OS (HR 2.231, 95 % CI 1.241-4.011, P = 0.007), PFS (HR 1.664, 95 % CI 1.003-2.760, P = 0.049), and DMFS(HR 2.081, 95 % CI 1.071-4.044, P = 0.031). Nomogram C-indexes for the nomogram of OS were 0.684, and PFS were 0.62, respectively. Survival predictions and actual survival were consistent according to the calibration curve. Conclusions: Pre-treatment PIV is a promising biomarker for predicting survival in patients with NPC.

Indexed as

Nasopharyngeal carcinomaNomogramPan-immune-inflammation valuePrognosis

Identifiers

PMID38312571
PMCPMC10834807
OpenAlexW4391038060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.