Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database
Background: Osteosarcoma is one of the most common malignant bone tumors, with a high incidence in adolescence. The objective of this study was to construct prognostic nomograms for predicting the prognosis of juvenile osteosarcoma. Methods: Patients with osteosarcoma diagnosed between 2004 and 2015...
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Format: | Article |
Language: | English |
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SAGE Publishing
2020-10-01
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Series: | Technology in Cancer Research & Treatment |
Online Access: | https://doi.org/10.1177/1533033820947718 |
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author | Yao Jiang MD Tianyu Wang PhD Zizheng Wei MD |
author_facet | Yao Jiang MD Tianyu Wang PhD Zizheng Wei MD |
author_sort | Yao Jiang MD |
collection | DOAJ |
description | Background: Osteosarcoma is one of the most common malignant bone tumors, with a high incidence in adolescence. The objective of this study was to construct prognostic nomograms for predicting the prognosis of juvenile osteosarcoma. Methods: Patients with osteosarcoma diagnosed between 2004 and 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. The essential clinical predictors were identified with univariate and multivariate Cox analysis. Nomograms were constructed to predict the 3- and 5-year cancer- specific survival (CSS) and overall survival (OS). Concordance index (C-index) and calibration plots were performed to validate the predictive performance of nomograms. Results: We enrolled 736 adolescents with osteosarcoma from the SEER database, with 516 samples grouped into a training cohort and 220 samples grouped into a validation cohort. In multivariate analysis of the training cohort, predictors including tumor size, surgery treatment and AJCC stage were found to be associated with OS and CSS, while age was only associated with CSS. Construction of nomograms based on these predictors was performed to evaluate the prognosis of adolescents with osteosarcoma. The C-index and calibration curves also showed the satisfactory performance of these nomograms for prognosis prediction. Conclusion: The developed nomograms are useful tools for precisely predicting the prognosis of adolescents with osteosarcoma, which could enable patients to be more accurately managed in clinical practice. |
first_indexed | 2024-04-25T01:13:24Z |
format | Article |
id | doaj.art-34a2437ed7104318992c7a9e3b060572 |
institution | Directory Open Access Journal |
issn | 1533-0338 |
language | English |
last_indexed | 2024-04-25T01:13:24Z |
publishDate | 2020-10-01 |
publisher | SAGE Publishing |
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series | Technology in Cancer Research & Treatment |
spelling | doaj.art-34a2437ed7104318992c7a9e3b0605722024-03-09T16:03:21ZengSAGE PublishingTechnology in Cancer Research & Treatment1533-03382020-10-011910.1177/1533033820947718Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER DatabaseYao Jiang MD0Tianyu Wang PhD1Zizheng Wei MD2 Department of Orthopaedic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China Department of Orthopaedic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China Department of Orthopaedic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, ChinaBackground: Osteosarcoma is one of the most common malignant bone tumors, with a high incidence in adolescence. The objective of this study was to construct prognostic nomograms for predicting the prognosis of juvenile osteosarcoma. Methods: Patients with osteosarcoma diagnosed between 2004 and 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. The essential clinical predictors were identified with univariate and multivariate Cox analysis. Nomograms were constructed to predict the 3- and 5-year cancer- specific survival (CSS) and overall survival (OS). Concordance index (C-index) and calibration plots were performed to validate the predictive performance of nomograms. Results: We enrolled 736 adolescents with osteosarcoma from the SEER database, with 516 samples grouped into a training cohort and 220 samples grouped into a validation cohort. In multivariate analysis of the training cohort, predictors including tumor size, surgery treatment and AJCC stage were found to be associated with OS and CSS, while age was only associated with CSS. Construction of nomograms based on these predictors was performed to evaluate the prognosis of adolescents with osteosarcoma. The C-index and calibration curves also showed the satisfactory performance of these nomograms for prognosis prediction. Conclusion: The developed nomograms are useful tools for precisely predicting the prognosis of adolescents with osteosarcoma, which could enable patients to be more accurately managed in clinical practice.https://doi.org/10.1177/1533033820947718 |
spellingShingle | Yao Jiang MD Tianyu Wang PhD Zizheng Wei MD Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database Technology in Cancer Research & Treatment |
title | Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database |
title_full | Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database |
title_fullStr | Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database |
title_full_unstemmed | Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database |
title_short | Construction and Validation of Nomograms for Predicting the Prognosis of Juvenile Osteosarcoma: A Real-World Analysis in the SEER Database |
title_sort | construction and validation of nomograms for predicting the prognosis of juvenile osteosarcoma a real world analysis in the seer database |
url | https://doi.org/10.1177/1533033820947718 |
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