Evidence map›Paper›PMID 41081107›Full record

ArticlePeerJ2025

Predictive role of systemic immune-inflammation index in the prognosis of patients with advanced left-sided colorectal cancer: a retrospective study.

Jingyue Su, Shaokun Yu, Yanjie Xu, Jiemin Zhao, Wenwei Hu, Xuefeng Ni

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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.

Jingyue SuDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Shaokun YuSuzhou Cancer Center Core Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China.
Yanjie XuDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Jiemin ZhaoDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Wenwei HuDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
Xuefeng NiDepartment of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the prognostic value of the systemic immune-inflammation index (SII) in patients with advanced left-sided colorectal cancer (CRC) receiving CAPEOX ± bevacizumab as first-line chemotherapy. Methods: A total of 231 patients with advanced left-sided CRC who received first-line CAPEOX ± bevacizumab therapy were included. Patients' blood cell counts, clinical, and pathological data were collected before treatment, and systemic inflammatory indices were calculated, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and SII. Optimal cutoffs for NLR, PLR, MLR, SII, and age were determined using X-Tile software, categorizing patients in to high- or low-value groups; clinicopathological characteristics were then compared between the high- and low-value groups within each systemic inflammatory index using chi-square tests. Survival curves were estimated using the Kaplan-Meier method, with log-rank tests applied to compare differences between groups. The Shapiro-Wilk test for normality and Spearman correlation analysis were used to evaluate the correlations among SII, NLR, PLR, and MLR. Univariable and multivariable analyses were performed with the Cox proportional hazards regression model. The prognostic value of systemic inflammatory indices was compared using the concordance index (C-index) and 5-fold cross-validation. The stability and generalizability of the C-index under varying data partitions were evaluated using mean square error (MSE). Interaction effects between treatment regimens and SII were further explored using multivariable Cox regression analysis. Results: Univariable and multivariable Cox regression analyses identified age, primary tumor resection, SII, NLR, PLR, and MLR as independent prognostic factors for overall survival (OS). Comparative analysis of the C-index and MSE in the training and validation datasets demonstrated that SII outperformed NLR, PLR, and MLR, exhibiting the highest average C-index and the lowest MSE across 5-fold cross-validation. Patients with elevated pre-treatment SII had significantly worse OS compared to those with lower values. Conclusion: SII is a robust prognostic marker in patients with advanced left-sided CRC receiving CAPEOX ± bevacizumab as first-line chemotherapy, demonstrating superior prognostic value compared to NLR, PLR, and MLR. Higher pre-treatment SII values were associated with worse OS, underscoring its clinical utility in prognostic stratification.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsInflammationAdultAgedBevacizumabCapecitabineFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsOxaliplatinPrognosisRetrospective StudiesBevacizumabCapecitabineOxaliplatinChemotherapyColorectal cancerPrognosisSystemic immune-inflammation index

Identifiers

PMID41081107
PMCPMC12510246

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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.