ArticleScientific reports2024
Comprehensive analysis of the prognostic value of pre-treatment nutritional indicators in elderly rectal cancer patients.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A nonlinear association between platelet-to-albumin ratio and one-year all-cause mortality in acute coronary syndrome patients.Annals of medicine · 2026Article
- The Missing Link: Improving Cancer Outcomes Through a Structured Nutritional Quality Improvement Program.Cureus · 2026Article
- Construction of immune related genes predictive models of elderly rectal cancer patients based on machine learning.Discover oncology · 2026Article
- Predictive value of NRI, NLR, PLR and LMR for therapeutic efficacy and prognosis in advanced rectal cancer patients treated with PD-1/PD-L1 immunotherapy.Frontiers in surgery · 2026Article
- The prognosis value of geriatric nutritional risk index and associated genes in elderly patients with locally advanced rectal cancer following neoadjuvant chemoradiotherapy.Nutrition journal · 2025Article
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- Prognostic Nutritional Index as a Predictor of Surgical Morbidity in Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer.Journal of clinical medicine · 2025Article
- Establishment and Validation of a Novel Nutritional-Immune-Inflammatory Score Model for Predicting Survival Prognosis in Hepatocellular Carcinoma Patients Treated with PD-1 Inhibitors.Journal of inflammation research · 2025Article
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6 authors.
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Abstract
Nutritional status assessment has been deemed essential in treating elderly cancer patients. This study aims to investigate and compare the prognostic value and clinical utility of pre-treatment nutritional indicators in elderly rectal cancer (RC) patients. We retrospectively collected data from 361 elderly rectal cancer patients. The optimal cut-off values for pre-treatment nutritional indicators were calculated using ROC curve analysis. Univariate and multivariate Cox analyses were conducted to identify independent prognostic nutritional indicators. The predictive performance and clinical utility of these independent nutritional indicators was evaluated using time-dependent ROC. Multivariate analyses showed that body mass index (BMI), prognostic nutritional index (PNI), geriatric nutrition risk index (GNRI), and platelet-albumin ratio (PAR) independently predicted overall survival and progression-free survival in elderly RC patients (all p < 0.05), except for advanced lung cancer inflammation index (ALI). According to the nomogram model, the pre-treatment nutritional prognosis score was calculated and the patients were risk stratified. The KM curve showed that the survival of the high-risk group was significantly worse than that of the low-moderate risk group. Time-dependent ROC indicated that novel nutritional prognostic indicator (NNPI) had the best predictive ability compared with the independent prognostic nutritional indicator. Subgroup analysis also showed that NNPI had prognostic value across different clinical factors and had significant clinical utility. In elderly RC patients, BMI, PNI, GNRI, PAR, and NNPI serve as objective assessment tools for nutrition-related mortality risk. Identifying elderly patients at higher nutritional risk can guide early clinical nutritional interventions and improve patient outcomes.
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