ArticleJournal of inflammation research2025
Development of a Prognostic Nomogram Incorporating the Naples Prognostic Score for Postoperative Oral Squamous Cell Carcinoma Patients.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and external validation of a nomogram for overall survival in oral tongue squamous cell carcinoma using machine learning-assisted feature selection.Scientific reports · 2026Article
- A CRP-Albumin-Lymphocyte (CALLY) Index-Based Nomogram for Predicting Survival After Radical Surgery for Hypopharyngeal Squamous Cell Carcinoma.Journal of inflammation research · 2026Article
- Development of a Prognostic Nomogram Model and Establishment of a Risk Stratification System Based on the Naples Prognostic Score for Patients with Oropharyngeal Squamous Cell Carcinoma Who Have Undergone Radical Surgery.Journal of inflammation research · 2026Article
- A Novel Survival Prediction Nomogram Based on the Naples Prognostic Score and Clinicopathological Factors for Postoperative Hypopharyngeal Squamous Cell Carcinoma Patients.Journal of inflammation research · 2025Article
- Modified Naples Prognostic Score for Postoperative Prognostic Stratification in Patients with Oral Squamous Cell Carcinoma.Journal of inflammation research · 2025Article
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Abstract
Background: The Naples prognostic score (NPS) and its relation to the prognosis of oral squamous cell carcinoma (OSCC) have been inconclusive. This study aimed to investigate the correlation between NPS and the prognosis of postoperative OSCC patients. Additionally, the study sought to develop a new nomogram for predicting disease-free survival (DFS) and overall survival (OS). Methods: The study included 576 OSCC patients who underwent surgical treatment at two hospitals between August 2008 and June 2018. Univariate and multivariate Cox regression analyses were conducted to identify independent prognostic factors. Subsequently, two nomograms were developed to predict DFS and OS based on these factors and underwent rigorous validation. Results: The median DFS and OS were 31.5 months and 36.5 months, respectively. Significant differences in DFS and OS were observed among patients with different NPS scores. Adjuvant radiotherapy, age-adjusted Charlson comorbidity index (ACCI), extranodal extension (ENE), NPS, American Joint Committee on Cancer (AJCC) stage, surgical safety margin, eastern cooperative oncology group performance status (ECOG PS), and systemic inflammation score (SIS) were identified as independent predictors of DFS and OS. In the training cohort, the nomogram's concordance index (C-index) for predicting DFS and OS was 0.701 and 0.693, respectively. In the validation group, the corresponding values were 0.642 and 0.635, respectively. Calibration plots confirmed a high level of agreement between the model's predictions and actual outcomes. Decision curve analysis (DCA) demonstrated the nomogram's good clinical utility. Additionally, patients in the low-risk group did not benefit from adjuvant radiotherapy, while those in the medium-risk and high-risk group could benefit from adjuvant radiotherapy. Conclusion: NPS significantly influences the prognosis of OSCC patients following surgery. The nomogram developed in this study holds significant clinical application potential. The low-risk subgroup of patients was not required to undergo postoperative radiotherapy.
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