ArticleNutrition journal2024
Prognostic value of the geriatric nutritional risk index in patients with non-metastatic clear cell renal cell carcinoma: a propensity score matching analysis.
Article in Nutrition journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- [Comparison of preoperative nutritional scoring systems for predicting survival in upper tract urothelial carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Geriatric Nutritional Risk Index and risks of all-cause, cardiovascular, and diabetes-related mortality in adults with obesity: A nationally representative cohort study.American heart journal plus : cardiology research and practice · 2026Article
- Association of renal artery variations with aggressive pathological features and poor prognosis in clear-cell renal cell carcinoma: a computed tomography-based three-dimensional reconstruction study.Quantitative imaging in medicine and surgery · 2026Article
- Association of the Geriatric Nutritional Risk Index With Prognosis in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.Immunity, inflammation and disease · 2026Article
- Article
- Insights into the Prognostic Efficacy of the Geriatric Nutritional Risk Index for Nasopharyngeal Carcinoma in the Era of Volumetric Modulated Arc Therapy: A Nomogram for Predicting Long-Term Survival Outcomes.Current oncology (Toronto, Ont.) · 2025Article
- Nomogram for predicting survival in breast cancer with lung metastasis based on SEER data.Translational cancer research · 2025Article
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11 authors.
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Abstract
backgroundThis study aimed to investigate the prognostic value of the geriatric nutritional risk index (GNRI) in patients with non-metastatic clear cell renal cell carcinoma (ccRCC) who underwent nephrectomy.
methodsPatients with non-metastatic ccRCC who underwent nephrectomy between 2013 and 2021 were analyzed retrospectively. The GNRI was calculated within one week before surgery. The optimal cut-off value of GNRI was determined using X-tile software, and the patients were divided into a low GNRI group and a high GNRI group. The Kaplan-Meier method was used to compare the overall survival (OS), cancer-specific survival (CSS) and recurrence-free survival (RFS) between the two groups. Univariate and multivariate Cox proportional hazard models were used to determine prognostic factors. In addition, propensity score matching (PSM) was performed with a matching ratio of 1:3 to minimize the influence of confounding factors. Variables entered into the PSM model were as follows: sex, age, history of hypertension, history of diabetes, smoking history, BMI, tumor sidedness, pT stage, Fuhrman grade, surgical method, surgical approach, and tumor size.
resultsA total of 645 patients were included in the final analysis, with a median follow-up period of 37 months (range: 1-112 months). The optimal cut-off value of GNRI was 98, based on which patients were divided into two groups: a low GNRI group (≤ 98) and a high GNRI group (> 98). Kaplan-Meier analysis showed that OS (P < 0.001), CSS (P < 0.001) and RFS (P < 0.001) in the low GNRI group were significantly worse than those in the high GNRI group. Univariate and multivariate Cox analysis showed that GNRI was an independent prognostic factor of OS, CSS and RFS. Even after PSM, OS (P < 0.05), CSS (P < 0.05) and RFS (P < 0.05) in the low GNRI group were still worse than those in the high GNRI group. In addition, we observed that a low GNRI was associated with poor clinical outcomes in elderly subgroup (> 65) and young subgroup (≤ 65), as well as in patients with early (pT1-T2) and low-grade (Fuhrman I-II) ccRCC.
conclusionAs a simple and practical tool for nutrition screening, the preoperative GNRI can be used as an independent prognostic indicator for postoperative patients with non-metastatic ccRCC. However, larger prospective studies are necessary to validate these findings.
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