Evidence map›Paper›PMID 42638646›Full record

ArticleFrontiers in medicine2026

Association of systemic inflammatory indices with gastrointestinal tumors: evidence from NHANES and a hospital-based cohort.

Rui Luo, Haifen Ji, Jiwen Pan, Mingzhu Wei, Dongmei Gao

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Rui Luo *Department of Clinical Laboratory, The First People's Hospital of Hefei, Anhui, China.
Haifen Ji *Medical Pathology Center, Hefei Cancer Hospital, Chinese Academy of Sciences, Anhui, China.
Jiwen PanDepartment of Clinical Laboratory, The First People's Hospital of Hefei, Anhui, China.
Mingzhu WeiDepartment of Clinical Laboratory, The First People's Hospital of Hefei, Anhui, China.
Dongmei GaoDepartment of Clinical Laboratory, The First People's Hospital of Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation plays an important role in tumor development and progression. Several inflammation-related indices derived from routine blood tests have been proposed as potential biomarkers for cancer. However, their associations with gastrointestinal tumors in large population-based datasets remain insufficiently explored. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) were used to examine the associations between nine systemic inflammatory indices and gastrointestinal tumors. Multivariable logistic regression, propensity score matching, and restricted cubic spline analyses were performed. Mortality-linked NHANES data were further analyzed using Cox regression and Kaplan-Meier methods. An independent hospital-based cohort was used to validate the main findings. Results: Several systemic inflammatory indices were significantly associated with gastrointestinal tumor status in NHANES. NLR and RAR showed particularly strong associations and ranked among the most influential variables in the machine-learning analyses. Restricted cubic spline analyses indicated nonlinear association patterns, with higher NLR and RAR levels corresponding to greater odds of gastrointestinal tumors. The main findings remained generally consistent in the propensity score-matched cohort. In the hospital-based cohort, patients with gastrointestinal tumors also showed higher systemic inflammatory levels than healthy controls. A nomogram incorporating CALLY, NLR, RAR, and clinical variables demonstrated good discriminative performance, with an AUC of 0.852. In addition, several baseline inflammatory indices were independently associated with all-cause mortality among patients with gastrointestinal tumors. Conclusion: Systemic inflammatory indices derived from routine blood tests were associated with gastrointestinal tumor status and all-cause mortality. These main findings were further supported by the hospital-based cohort. Routine inflammation-related indices may therefore provide useful information for identifying tumor-associated inflammatory changes and evaluating prognosis in patients with gastrointestinal tumors.

Indexed as

gastrointestinal tumorshospital-based cohortinflammatory indicesNHANESsystemic inflammation

Identifiers

PMID42638646
PMCPMC13500251

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