Evidence map›Paper›PMID 42482554›Full record

ArticleThe Journal of international medical research2026

Development and validation of a composite C-reactive protein-to-albumin ratio-tumor-node-metastasis index for prognostic stratification in gastric cancer: A multicenter cohort study.

Yiyang Chen, Chuang Xu, Heyang Zhang, Zelin Chai, Jiaoyang Li

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in The Journal of international medical research, 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 · Who and what money

Authors and funding

5 authors.

Yiyang ChenClinical Laboratory Center, Capital Medical University Affiliated Beijing Friendship Hospital, China.
Chuang XuMedical School of Chinese PLA, Chinese PLA General Hospital, China.
Heyang ZhangDepartment of Gastroenterology, Capital Medical University Affiliated Beijing Friendship Hospital, China.ORCID 0000-0002-6047-6874
Zelin ChaiState Key Laboratory of Virology, Wuhan University, China.
Jiaoyang LiDepartment of Ultrasound, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveSystemic inflammation and nutritional status influence gastric cancer outcomes; however, existing inflammation-based indices show inconsistent prognostic value and rarely reflect the tumor burden.MethodsWe conducted a retrospective multicenter cohort analysis of 990 patients with pathologically confirmed gastric cancer registered in the nationwide Investigation on Nutrition Status and Clinical Outcome of Common Cancers cohort (2012-2021). Patients were randomly split into training (n = 693) and internal validation (n = 297) cohorts. The prognostic performance of the C-reactive protein-to-albumin, neutrophil-to-lymphocyte, platelet-to-lymphocyte, and lymphocyte-to-C-reactive protein ratios as well as systemic immune-inflammation index was compared using time-dependent area under the curves and concordance indices. The C-reactive protein-to-albumin ratio cutoff was determined in the training cohort and rounded to 0.09 for clinical application. A four-category C-reactive protein-to-albumin ratio-tumor-node-metastasis index was constructed by combining the C-reactive protein-to-albumin ratio status with the tumor-node-metastasis stage group and was evaluated using the concordance index, Kaplan-Meier analysis, sequential Cox models, and calibration plots.ResultsThe C-reactive protein-to-albumin ratio was selected for model construction based on its training cohort performance and biological interpretability. The C-reactive protein-to-albumin ratio-tumor-node-metastasis index showed improved discrimination compared with the C-reactive protein-to-albumin ratio alone, with concordance index values of 0.629 (95% confidence interval: 0.599-0.660) in the training cohort and 0.640 (95% confidence interval: 0.595-0.686) in the validation cohort. The four C-reactive protein-to-albumin ratio-tumor-node-metastasis groups were defined as follows: group 1.1, low C-reactive protein-to-albumin ratio (≤0.09) plus tumor-node-metastasis I-II; group 1.2, low C-reactive protein-to-albumin ratio (≤0.09) plus tumor-node-metastasis III-IV; group 2.1, high C-reactive protein-to-albumin ratio (>0.09) plus tumor-node-metastasis I-II; and group 2.2, high C-reactive protein-to-albumin ratio (>0.09) plus tumor-node-metastasis III-IV. In the clinically adjusted Cox model, compared with group 1.1, the hazard ratios were 3.24 (95% confidence interval: 2.18-4.80) for group 1.2, 1.62 (95% confidence interval: 1.02-2.58) for group 2.1, and 5.59 (95% confidence interval: 3.83-8.16) for group 2.2. A nomogram incorporating the C-reactive protein-to-albumin ratio-tumor-node-metastasis index, age group, and body mass index category showed acceptable calibration for 1-, 3-, and 5-year overall survival prediction.ConclusionsThe C-reactive protein-to-albumin ratio-tumor-node-metastasis index may serve as a simple adjunctive tool for prognostic stratification in gastric cancer by combining tumor stage with systemic inflammatory and nutritional status. Further external validation and model refinement are needed before its adoption in routine clinical use.

Indexed as

Biomarkers, TumorC-Reactive ProteinSerum AlbuminStomach NeoplasmsAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesBiomarkers, TumorC-Reactive ProteinSerum AlbuminC-reactive protein-to-albumin ratioGastric cancerinflammationnutritionprognosistumor–nose–metastasis stage

Identifiers

PMID42482554
PMCPMC13392307

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