ArticleScientific reports2020
A nomogram for predicting cancer-specific survival in patients with osteosarcoma as secondary malignancy.
Article in Scientific reports, 2020. 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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10 citing papers in PubMed, 16 citations in OpenAlex.
- Establishment of a mInternational journal of genomics · 2026Article
- Survival analysis and prognostic model establishment of secondary osteosarcoma: a SEER-based study.Annals of medicine and surgery (2012) · 2024Article
- Construction of Osteosarcoma Diagnosis Model by Random Forest and Artificial Neural Network.Journal of personalized medicine · 2023Article
- Multiview Deep Forest for Overall Survival Prediction in Cancer.Computational and mathematical methods in medicine · 2023Article
- A new model of preoperative systemic inflammatory markers predicting overall survival of osteosarcoma: a multicenter retrospective study.BMC cancer · 2022Article
- Interpretable clinical visualization model for prediction of prognosis in osteosarcoma: a large cohort data study.Frontiers in oncology · 2022Article
- An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.Computational intelligence and neuroscience · 2022Article
- Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study.Journal of oncology · 2022Article
- Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study.Frontiers in endocrinology · 2021Article
- Development and Validation of Prognostic Nomograms for Elderly Patients with Osteosarcoma.International journal of general medicine · 2021Article
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4 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The prognostic factors for survival among patients with secondary osteosarcoma remain unclear. The aim of this study was to develop a practical nomogram for predicting cancer-specific survival (CSS) in patients with osteosarcoma as a secondary malignancy. The surveillance, epidemiology, and end results database was used for the identification of osteosarcoma cases. The total sample comprised 5860 cases of primary osteosarcoma and 268 cases of secondary osteosarcoma during the period from 1973 to 2015. The CSS and overall survival (OS) of primary and secondary osteosarcomas were analyzed. The predictors of CSS for secondary osteosarcoma were identified and integrated to build a nomogram. Validation of the nomogram was performed using concordance index (C-index) and calibration plots. The results indicated that patients with secondary osteosarcoma had poorer CSS and OS than patients with primary osteosarcoma. The nomogram model exhibited high discriminative accuracy in the training cohort (C-index = 0.826), which was confirmed in the internal validation cohort (C-index = 0.791). In addition, the calibration plots confirmed good concordance for prediction of CSS at 3, 5, and 10 years. In conclusion, we developed a practical nomogram that provided individual predictions of CSS for patients with secondary osteosarcoma. This nomogram may help clinicians with prognostic evaluations and with the development of individualized therapies for this aggressive disease.
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