Retraction of: Screening of Clinical Factors Related to Prognosis of Breast Cancer Based on the Cox Proportional Risk Model
Autor: | Bing Han, Degong Mu, Wan Tang, Dong Song, Ling Han, Xianmin Guo |
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Rok vydání: | 2021 |
Předmět: |
Oncology
medicine.medical_specialty Multivariate statistics medicine.medical_treatment Disease 03 medical and health sciences Risk model 0302 clinical medicine Breast cancer Internal medicine Genetics medicine Stage (cooking) Molecular Biology 030304 developmental biology 0303 health sciences business.industry Proportional hazards model Regression analysis medicine.disease Radiation therapy Computational Mathematics Computational Theory and Mathematics 030220 oncology & carcinogenesis Modeling and Simulation business |
Zdroj: | Journal of Computational Biology. 28:89-98 |
ISSN: | 1557-8666 |
DOI: | 10.1089/cmb.2019.0110 |
Popis: | Proper evaluation of the relevant clinical factors for the prognosis of breast cancer is particularly important in the selection of appropriate therapeutic strategies. To further screen and identify the clinically significant factors associated with breast cancer, the Cox risk regression model analysis was performed in this study. The follow-up data of intact breast cancer patients were downloaded from METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) database, and the prognostic factors correlated with radiotherapy factors were screened using the Cox risk regression model analysis of prognostic factors. The response of different clinical features to radiotherapy was also evaluated by survival prognosis analysis and prediction. A total of 1980 breast cancer patients were enrolled in this study, including 1173 patients who received the radiotherapy treatment and 807 patients without radiotherapy treatment. To further study the correlation between the clinical prognostic factors and the overall survival, the single factor and multivariate Cox regression analysis were performed, and the clinical prognostic factors implied that the patients with age |
Databáze: | OpenAIRE |
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