ArticleFrontiers in nutrition2025
The relationship between prognostic nutritional index and its components (albumin and lymphocyte count) and all-cause mortality in lung cancer patients: a hospital-based study with database external validation.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Prognostic value of SUVTranslational lung cancer research · 2026Article
- Immune-inflammatory and nutritional status mediate the association between age and survival in older patients with nasopharyngeal carcinoma: a retrospective cohort study.BMC geriatrics · 2026Article
- Longitudinal trajectories of nutritional markers in patients with de novo Stage IV gastric cancer: a descriptive analysis using one-year survival as a reference.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Prognostic Value of the Prognostic Nutritional Index in Patients with Metastatic Melanoma.Journal of Cancer · 2026Article
- Prognostic nutritional index versus pragmatically operationalized GLIM criteria for predicting postoperative complications and recovery in spine surgery: a prospective cohort study.Frontiers in nutrition · 2026Article
- Pretreatment prognostic nutritional index and immune status for response to preoperative neoadjuvant chemotherapy in cervical squamous cell carcinoma: an exploratory retrospective study.Frontiers in oncology · 2026Article
- Development and validation of a nutrition-integrated nomogram for predicting 28-day mortality in sepsis patients.Frontiers in nutrition · 2025Article
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4 authors.
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Abstract
Objective: This study aimed to evaluate the prognostic value of the Prognostic Nutritional Index (PNI), derived from serum albumin and lymphocyte count, in predicting all-cause mortality among lung cancer patients, using both a hospital-based cohort and an external validation dataset. Methods: A hospital-based retrospective cohort study was conducted, supplemented with external validation using the NHANES database. Univariate and multivariate Cox proportional hazards regression analyses were performed to assess associations between PNI, its components, and mortality. Variance inflation factor (VIF) testing was used to evaluate multicollinearity. Kaplan-Meier (KM) curves and log-rank tests were employed to compare survival across PNI tertiles. Restricted cubic spline (RCS) models were applied to examine non-linear relationships between continuous variables and mortality risk. Results: In the hospital cohort, univariate Cox analysis revealed significant associations between PNI (HR = 0.89, 95% CI: 0.85-0.93, Conclusion: PNI and its components-albumin and lymphocyte count-are significantly associated with all-cause mortality in lung cancer patients. PNI demonstrates promise as a practical and reproducible prognostic indicator, potentially aiding in risk stratification and clinical decision-making.
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