ArticleJournal of thoracic disease2025
The value of prognostic immune-inflammatory-nutritional score in predicting survival after surgery in stage I-III non-small cell lung cancer.
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Prognostic value of perioperative inflammatory biomarkers in patients undergoing surgical resection for non-small cell lung cancer.Journal of thoracic disease · 2026Article
- Association between preoperative diaphragmatic dome height for overall survival in patients with lung cancer and obstructive ventilatory disorder.International journal of clinical oncology · 2026Article
- Externally validated explainable machine learning for postoperative recurrence prediction in early-stage NSCLC.Frontiers in oncology · 2026Article
- Multi-institutional development and validation of habitat imaging for predicting outcomes of first-line immunotherapy in advanced non-small cell lung cancer.Translational lung cancer research · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related mortality worldwide. While traditional prognostic factors have mainly focused on tumor characteristics, recent evidence underscores the importance of immune response, inflammation, and nutritional status in determining patient outcomes. This study assesses the prognostic value of prognostic immune-inflammatory-nutritional (PIIN) score in predicting overall survival (OS) of NSCLC patients. Methods: A retrospective analysis was conducted on the clinical data of 406 NSCLC patients who underwent surgical treatment. The optimal PIIN score cut-off value was established using receiver operating characteristic (ROC) curve analysis, dividing patients into high and low PIIN score groups. Both univariate and multivariate Cox regression analyses identified independent prognostic factors, which were used to construct a nomogram. Results: The ideal PIIN score cut-off value was 24.2. Multivariate Cox regression analysis demonstrated that PIIN score [hazard ratio (HR): 2.116, 95% confidence interval (CI): 1.305-3.430, P=0.002], tumor-node-metastasis (TNM) stage (stage II: HR: 2.437, 95% CI: 1.223-4.855, P=0.01; stage III: HR: 6.753, 95% CI: 3.779-12.065, P<0.001), and forced expiratory volume in the first second (FEV Conclusions: PIIN score was validated as an independent and reliable predictor of OS in stage I-III NSCLC patients after surgery. This score provides a valuable tool for individualized prognosis evaluation in clinical practice.
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