Investigating the Risk Factors Affecting the Survival Rate of Breast Cancer Patients Using Cured Model Based on Defective Distribution.
Background: The analysis methods for breast cancer (BC) data have also advanced alongside medical advancements in the treatment of the disease. Objectives: This study tried to investigate the factors affecting the survival rate of BC patients using the cured model based on Kumaraswamy's defective di...
| Publicado en: | International Journal of Cancer Management Vol. 17; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Medical Journals Commission of the Ministry of Health & Medical Education
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182175705&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182175705 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 25384422 L6AI jtl: International Journal of Cancer Management issn: 25384422 maglogo: N pubinfo: dt: Dec2024 vid: 17 iid: 1 pid: 66482 pub: Medical Journals Commission of the Ministry of Health & Medical Education artinfo: ui: 182175705 182175705 182175705 10.5812/ijcm-139947 182175705 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Investigating the Risk Factors Affecting the Survival Rate of Breast Cancer Patients Using Cured Model Based on Defective Distribution. aug: au: Taheri, Seyede Solmaz Akbari, Mohammad Esmaeil Khadem Maboudi, Ali Akbar Baghestani, Ahmadreza affil: Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran sug: subj: Breast Neoplasms Mortality Breast Neoplasms Prognosis Mortality Risk Factors Risk Assessment Women's Health Human Female Middle Age Aged Aged, 80 and Over Cancer Patients Iran Retrospective Design Record Review Prediction Models Age Factors Neoplasm Staging Tumor Burden Hormone Therapy Survival Analysis Survival Rate Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Female ab: Background: The analysis methods for breast cancer (BC) data have also advanced alongside medical advancements in the treatment of the disease. Objectives: This study tried to investigate the factors affecting the survival rate of BC patients using the cured model based on Kumaraswamy's defective distribution. Methods: A retrospective study collected data on 2 574 BC patients between September 2013 and September 2020, including demographic, clinicopathological, and biological characteristics. The best model for predicting cure was chosen based on AIC. Results: The selected cure model revealed that age (P = 0.046), tumor histologic grade (P = 0.0.38), tumor size (P = 0.0.41), HER2 status (P = 0.001), KI67 levels (P = 0.027), P53 status (P = 0.029), and hormone therapy (P = 0.039) were significant variables. The estimated cured rate of this data was 0.82. Conclusions: Considering that the advanced cured model has the highest accuracy in identifying the factors affecting the survival rate of BC patients and more risk factors have become significant in this model, it is recommended to pay special attention to patients aged over 60 with poorly differentiated historical grade, T3 tumor size, HER2 positive status, KI67 levels below 20%, negative P53 status, and no hormone therapy received in the process of disease prognosis. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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