Evidence map›Paper›PMID 41211424›Full record

ArticleFrontiers in oncology2025

Combined assessment of inflammation and food intake contributes to prognostic stratification of gastric cancer.

Yixuan Wang, Xi Zhang, Chenan Liu, Jinyu Shi, Tong Liu, Yue Chen, Xin Zheng, Zhaoting Bu, Hanping Shi

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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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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

3 citing papers in PubMed.

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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.

Yixuan WangDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xi ZhangDepartment of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chenan LiuDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jinyu ShiDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Tong LiuThe Third Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yue ChenDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xin ZhengDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Zhaoting BuDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hanping ShiDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with gastric cancer (GC) present with chronic inflammation and malnutrition risk. Lymphocyte-to-C-reactive protein ratio (LCR) and food intake are promising indicators for predicting inflammatory and nutritional states. Methods: This multi-center cohort study included 763 patients with GC. Time-dependent receiver operating characteristic curves were generated to determine the prediction accuracy of 16 systemic inflammatory indicators. Association of the model constructed by LCR and food intake with overall survival (OS) were analyzed using the Kaplan-Meier method and Cox regression model. Results: In this analysis, patients with reduced food intake accounted for 60.4%. The area under the curve and C-index of LCR for all-cause mortality were higher than those of the other indicators in patients with GC and there was a significant inverse relationship between LCR and all-cause mortality (per SD increment HR: 0.79, 95% CI: 0.65-0.96; Conclusions: Combined assessment of inflammation and food intake contributes to prognostic stratification of GC. Active therapeutic measures to reduce inflammation and increase nutrition may improve outcomes of affected patients.

Indexed as

food intakegastric cancerlymphocyte to C-reactive protein rationutritionoverall survival

Identifiers

PMID41211424
PMCPMC12588835

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