Prognostic nomogram for overall survival in pediatric osteosarcoma with pulmonary metastases: a SEER database analysis DOI Creative Commons
Jun Tang, Yun Guo,

Hongting Lu

и другие.

Frontiers in Pediatrics, Год журнала: 2025, Номер 13

Опубликована: Апрель 17, 2025

Background Pulmonary metastasis (PM) is the most common site of distant in osteosarcoma (OS), particularly pediatric cases, which are associated with poor prognosis. However, limited research has focused on identifying prognostic factors (PFs) for pulmonary (POPM). This study aims to identify clinical features and PFs POPM develop a validated nomogram predict overall survival patients. Methods A retrospective analysis was conducted using OS cases from Surveillance, Epidemiology, End Results (SEER) database (2010–2021). Clinical characteristics were compared between patients without PM. identified Least Absolute Shrinkage Selection Operator (LASSO) regression evaluated through Kaplan–Meier analysis. Patients divided into training ( N = 148) validation 64) cohorts. Independent determined via Cox construct nomogram, assessed concordance index (C-index), area under receiver operating characteristic curve (AUC-ROC), calibration plots. Decision (DCA) used evaluate applicability. LASSO key PFs: AJCC stage, T median household income, systemic therapy, time diagnosis treatment. Among these, all except stage as independent regression. The demonstrated strong predictive accuracy C-index values 0.68 (training) 0.71 (validation). AUC 1-, 3-, 5-year 0.786, 0.709, 0.711 cohort 0.780, 0.760, 0.776 cohort. Calibration plots showed excellent predicted actual survival, DCA confirmed nomogram's relevance. Conclusion treatment significant survival. provides valuable tool personalized assessment decision-making practice.

Язык: Английский

Prognostic nomogram for overall survival in pediatric osteosarcoma with pulmonary metastases: a SEER database analysis DOI Creative Commons
Jun Tang, Yun Guo,

Hongting Lu

и другие.

Frontiers in Pediatrics, Год журнала: 2025, Номер 13

Опубликована: Апрель 17, 2025

Background Pulmonary metastasis (PM) is the most common site of distant in osteosarcoma (OS), particularly pediatric cases, which are associated with poor prognosis. However, limited research has focused on identifying prognostic factors (PFs) for pulmonary (POPM). This study aims to identify clinical features and PFs POPM develop a validated nomogram predict overall survival patients. Methods A retrospective analysis was conducted using OS cases from Surveillance, Epidemiology, End Results (SEER) database (2010–2021). Clinical characteristics were compared between patients without PM. identified Least Absolute Shrinkage Selection Operator (LASSO) regression evaluated through Kaplan–Meier analysis. Patients divided into training ( N = 148) validation 64) cohorts. Independent determined via Cox construct nomogram, assessed concordance index (C-index), area under receiver operating characteristic curve (AUC-ROC), calibration plots. Decision (DCA) used evaluate applicability. LASSO key PFs: AJCC stage, T median household income, systemic therapy, time diagnosis treatment. Among these, all except stage as independent regression. The demonstrated strong predictive accuracy C-index values 0.68 (training) 0.71 (validation). AUC 1-, 3-, 5-year 0.786, 0.709, 0.711 cohort 0.780, 0.760, 0.776 cohort. Calibration plots showed excellent predicted actual survival, DCA confirmed nomogram's relevance. Conclusion treatment significant survival. provides valuable tool personalized assessment decision-making practice.

Язык: Английский

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