Evidence map›Paper›PMID 39845022›Full record

ArticleJournal of inflammation research2025

The Clinical Value of the Combined Detection of Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Prognostic Nutritional Index (PNI) in Early Diagnosis of Gastric Cancer.

Junyu Zheng, Lijun Zheng, Xiao Wang, Xuelian Mao, Qin Wang, Yining Yang, Dongping Mo

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Junyu Zheng *Department of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, People's Republic of China.
Lijun Zheng *Department of Clinical Laboratory, Nanjing Lishui District Hospital of Traditional Chinese Medicine, Nanjing, People's Republic of China.
Xiao WangDepartment of CT, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, People's Republic of China.
Xuelian MaoDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, People's Republic of China.
Qin WangDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, People's Republic of China.
Yining YangDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, People's Republic of China.
Dongping MoDepartment of Clinical Laboratory, Jiangsu Cancer Hospital & Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, People's Republic of China.ORCID 0000-0002-3662-4806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gastric cancer (GC) is a common malignant tumor of the digestive tract. Accumulating studies suggest that inflammation is linked with the pathogenesis of GC. The study delves into novel hematological inflammatory markers, such as systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and prognostic nutritional index (PNI), to explore their potential applications in early diagnosis of GC. Methods: From October 2020 and August 2024, 1339 GC patients admitted to our hospital were enrolled in this study. The pre-treatment SII, SIRI, and PNI was calculated from peripheral blood samples. Univariate and multivariate logistic regression analyses were utilized to verify independent risk factors for patients, and constructed the nomograms. The correlation between hematological indicators and tumor-node-metastasis (TNM) stage was assessed through Spearman's analysis. Results: Eligible patients and healthy controls were grouped by gender. The diagnostic ability of PNI was significantly superior to other indicators to diagnose male GC (area under the curve [AUC]=0.908, 95% CI: 0.892-0.925) and female GC (AUC=0.890, 95% CI: 0.865-0.914). Besides, the combination of hematological indicators is more effective in diagnosing GC patients, especially for male patients (AUC=0.916, 95% CI: 0.901-0.932, sensitivity: 84.98%, specificity: 84.29%). The C-statistic of Nomogram model was 0.917 for males and 0.875 for females. In both male and female cohorts, CEA, SII, and SIRI were positively correlated with TNM stage, while PNI was negatively correlated. The AUC of CEA, SII, SIRI, and PNI combined for the diagnosis in the early stage of male GC patients was 0.897 (95% CI: 0.875-0.918, sensitivity: 86.57%, specificity: 80.30%) is higher than that of in the advanced stage (AUC: 0.745, 95% CI: 0.710-0.780, sensitivity: 56.53%, specificity: 82.86%). Conclusion: The combined CEA, SII, PNI, and SIRI could be used as screening biomarkers in diagnosing GC, especially in the early stage of male GC patients.

Indexed as

early diagnosisgastric cancerPNIprognostic nutritional indexSIISIRIsystemic immune-inflammation indexsystemic inflammation response index

Identifiers

PMID39845022
PMCPMC11752871

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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.