Evidence map›Paper›PMID 35582101›Full record

ArticleWorld journal of gastrointestinal oncology2022

Prognostic significance of serum inflammation indices for different tumor infiltrative pattern types of gastric cancer.

Yu-Fei Wang, Xin Yin, Tian-Yi Fang, Yi-Min Wang, Lei Zhang, Xing-Hai Zhang, Dao-Xu Zhang, Yao Zhang, Xi-Bo Wang, Hao Wang and 1 more

Abstract read
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Article in World journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yu-Fei WangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Xin YinDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Tian-Yi FangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Yi-Min WangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Lei ZhangDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Xing-Hai ZhangDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Dao-Xu ZhangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Yao ZhangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Xi-Bo WangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Hao WangDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.
Ying-Wei XueDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China. xueyingwei@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory indices are considered to be potential prognostic biomarkers for patients with gastric cancer (GC). However, there is no evidence defining the prognostic significance of inflammatory indices for GC with different tumor infiltrative pattern (INF) types.

aimTo evaluate the significance of inflammatory indices and INF types in predicting the prognosis of patients with GC.

methodsA total of 962 patients who underwent radical gastrectomy were retrospectively selected for this study. Patients were categorized into the expansive growth type (INFa), the intermediate type (INFb), and the infiltrative growth type (INFc) groups. The cutoff values of inflammatory indices were analyzed by receiver operating characteristic curves. The Kaplan-Meier method and log-rank test were used to analyze overall survival (OS). The chi-square test was used to analyze the association between inflammatory indices and clinical characteristics. The independent risk factors for prognosis in each group were analyzed by univariate and multivariate analyses based on logistic regression. Nomogram models were constructed by R studio.

resultsThe INFc group had the worst OS (

conclusionThe outcome of different INF types GC patients could be assessed by nomograms based on different inflammatory indices and clinicopathologic features.

Indexed as

Gastric cancerNomogramPlatelet-lymphocyte ratioPrognosisSystemic immune-inflammation indexTumor infiltrative pattern

Identifiers

PMID35582101
PMCPMC9048526

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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.