Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study
Abstract Primary pulmonary sarcoma (PPS) is a rare and poor prognostic malignancy that results from current clinical studies are lacking. Our study aimed to investigate the prognostic factors of PPS and to construct a predictive nomogram that predict the overall survival (OS) rate. We extracted data...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-45058-7 |
| _version_ | 1827634385873010688 |
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| author | Qian Huang Wenqiang Li Xiaoyu He Qian He Qun Lai Quan Yuan Zhiping Deng |
| author_facet | Qian Huang Wenqiang Li Xiaoyu He Qian He Qun Lai Quan Yuan Zhiping Deng |
| author_sort | Qian Huang |
| collection | DOAJ |
| description | Abstract Primary pulmonary sarcoma (PPS) is a rare and poor prognostic malignancy that results from current clinical studies are lacking. Our study aimed to investigate the prognostic factors of PPS and to construct a predictive nomogram that predict the overall survival (OS) rate. We extracted data on patients diagnosed with PPS from 2010 to 2019 in the SEER database. A total of 169 patients were included after screening by inclusion and exclusion criteria. Univariate and multivariate COX regression analyses showed that age, pathological grade, liver metastasis, surgical intervention, and chemotherapy influenced the prognosis. We constructed the prediction model nomogram based on these factors. Moreover, the results of the internal and external ROC curves, calibration curves, and DCA plots confirmed that the model has good discrimination, accuracy, and clinical practice efficacy. The present study is the first population-based study to explore the factors affecting the prognosis of PPS. We established a novel prognostic nomogram to predict the OS rate, which can help to make proper clinical decisions. |
| first_indexed | 2024-03-09T15:12:39Z |
| format | Article |
| id | doaj.art-4f9bd7408ba64efdb84b2c59a1be7ddd |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:12:39Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-4f9bd7408ba64efdb84b2c59a1be7ddd2023-11-26T13:15:17ZengNature PortfolioScientific Reports2045-23222023-10-0113111010.1038/s41598-023-45058-7Prognostic visualization model for primary pulmonary sarcoma: a SEER-based studyQian Huang0Wenqiang Li1Xiaoyu He2Qian He3Qun Lai4Quan Yuan5Zhiping Deng6Sichuan North Medical CollegeZigong First People’s HospitalSichuan North Medical CollegeWest China Second Hospital of Sichuan UniversityThe First Hospital of Jilin UniversityZigong First People’s HospitalZigong First People’s HospitalAbstract Primary pulmonary sarcoma (PPS) is a rare and poor prognostic malignancy that results from current clinical studies are lacking. Our study aimed to investigate the prognostic factors of PPS and to construct a predictive nomogram that predict the overall survival (OS) rate. We extracted data on patients diagnosed with PPS from 2010 to 2019 in the SEER database. A total of 169 patients were included after screening by inclusion and exclusion criteria. Univariate and multivariate COX regression analyses showed that age, pathological grade, liver metastasis, surgical intervention, and chemotherapy influenced the prognosis. We constructed the prediction model nomogram based on these factors. Moreover, the results of the internal and external ROC curves, calibration curves, and DCA plots confirmed that the model has good discrimination, accuracy, and clinical practice efficacy. The present study is the first population-based study to explore the factors affecting the prognosis of PPS. We established a novel prognostic nomogram to predict the OS rate, which can help to make proper clinical decisions.https://doi.org/10.1038/s41598-023-45058-7 |
| spellingShingle | Qian Huang Wenqiang Li Xiaoyu He Qian He Qun Lai Quan Yuan Zhiping Deng Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study Scientific Reports |
| title | Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study |
| title_full | Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study |
| title_fullStr | Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study |
| title_full_unstemmed | Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study |
| title_short | Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study |
| title_sort | prognostic visualization model for primary pulmonary sarcoma a seer based study |
| url | https://doi.org/10.1038/s41598-023-45058-7 |
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