Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study
Abstract Background Osteosarcoma is most common malignant bone tumors. OS patients with metastasis have a poor prognosis. There are few tools to assess metastasis; we want to establish a nomogram to evaluate metastasis of osteosarcoma. Methods Data from the Surveillance, Epidemiology, and End Result...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-03-01
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| Series: | Journal of Orthopaedic Surgery and Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13018-021-02376-8 |
| _version_ | 1811186511558737920 |
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| author | Shouliang Lu Yanhua Wang Guangfei Liu Lu Wang Pengfei Wu Yong Li Cai Cheng |
| author_facet | Shouliang Lu Yanhua Wang Guangfei Liu Lu Wang Pengfei Wu Yong Li Cai Cheng |
| author_sort | Shouliang Lu |
| collection | DOAJ |
| description | Abstract Background Osteosarcoma is most common malignant bone tumors. OS patients with metastasis have a poor prognosis. There are few tools to assess metastasis; we want to establish a nomogram to evaluate metastasis of osteosarcoma. Methods Data from the Surveillance, Epidemiology, and End Results (SEER) database of patients with osteosarcoma were retrieved for retrospective analysis. We identify risk factors through univariate logistic regression and multivariate logistic regression analysis. Based on the results of multivariate analysis, we established a nomogram to predict metastasis of patients with osteosarcoma and used the concordance index (C-index) and calibration curves to test models. Results One thousand fifteen cases were obtained from the SEER database. In the univariate and multivariate logistic regression analysis, age, primary site, grade, T stage, and surgery are risk factors. The nomogram for metastasis was constructed based on these factors. The C-index of the training and validation cohort was 0.754 and 0.716. This means that the nomogram predictions of patients with metastasis are correct, and the calibration plots also show the good prediction performance of the nomogram. Conclusion We successfully develop the nomogram which can reliably predict metastasis in different patients with osteosarcoma and it only required basic information of patients. The nomogram that we developed can help clinicians better predict the metastasis with OS and determine postoperative treatment strategies. |
| first_indexed | 2024-04-11T13:47:49Z |
| format | Article |
| id | doaj.art-db027a6d01a8441fab4cc82d34851616 |
| institution | Directory Open Access Journal |
| issn | 1749-799X |
| language | English |
| last_indexed | 2024-04-11T13:47:49Z |
| publishDate | 2021-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Orthopaedic Surgery and Research |
| spelling | doaj.art-db027a6d01a8441fab4cc82d348516162022-12-22T04:21:00ZengBMCJournal of Orthopaedic Surgery and Research1749-799X2021-03-011611810.1186/s13018-021-02376-8Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective studyShouliang Lu0Yanhua Wang1Guangfei Liu2Lu Wang3Pengfei Wu4Yong Li5Cai Cheng6NO.1 Orthopedics Department, Cangzhou Central HospitalECG Examination Department, Cangzhou Central HospitalNO.1 Orthopedics Department, Cangzhou Central HospitalNO.1 Orthopedics Department, Cangzhou Central HospitalNO.1 Orthopedics Department, Cangzhou Central HospitalNO.1 Orthopedics Department, Cangzhou Central HospitalNO.1 Orthopedics Department, Cangzhou Central HospitalAbstract Background Osteosarcoma is most common malignant bone tumors. OS patients with metastasis have a poor prognosis. There are few tools to assess metastasis; we want to establish a nomogram to evaluate metastasis of osteosarcoma. Methods Data from the Surveillance, Epidemiology, and End Results (SEER) database of patients with osteosarcoma were retrieved for retrospective analysis. We identify risk factors through univariate logistic regression and multivariate logistic regression analysis. Based on the results of multivariate analysis, we established a nomogram to predict metastasis of patients with osteosarcoma and used the concordance index (C-index) and calibration curves to test models. Results One thousand fifteen cases were obtained from the SEER database. In the univariate and multivariate logistic regression analysis, age, primary site, grade, T stage, and surgery are risk factors. The nomogram for metastasis was constructed based on these factors. The C-index of the training and validation cohort was 0.754 and 0.716. This means that the nomogram predictions of patients with metastasis are correct, and the calibration plots also show the good prediction performance of the nomogram. Conclusion We successfully develop the nomogram which can reliably predict metastasis in different patients with osteosarcoma and it only required basic information of patients. The nomogram that we developed can help clinicians better predict the metastasis with OS and determine postoperative treatment strategies.https://doi.org/10.1186/s13018-021-02376-8OsteosarcomaMetastasisLogistic regressionNomogram |
| spellingShingle | Shouliang Lu Yanhua Wang Guangfei Liu Lu Wang Pengfei Wu Yong Li Cai Cheng Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study Journal of Orthopaedic Surgery and Research Osteosarcoma Metastasis Logistic regression Nomogram |
| title | Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study |
| title_full | Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study |
| title_fullStr | Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study |
| title_full_unstemmed | Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study |
| title_short | Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study |
| title_sort | construction and validation of nomogram to predict distant metastasis in osteosarcoma a retrospective study |
| topic | Osteosarcoma Metastasis Logistic regression Nomogram |
| url | https://doi.org/10.1186/s13018-021-02376-8 |
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