Determining Prognostic Factors of Disease-Free Survival in Breast Cancer Using Censored Quantile Regression.
Background: The analysis of disease-free survival and related factors leads to a better understanding of the patient's condition and recurrence-related characteristics and provides a basis for more appropriate treatment guidance. In this study, we aimed to investigate the role of prognostic factors...
| Publicado en: | Breast Cancer: Basic & Clinical Research pp. 1 - 7 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Sage Publications Inc.
6/29/2022
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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=157770110&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157770110 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11782234 B078 jtl: Breast Cancer: Basic & Clinical Research issn: 11782234 maglogo: Y pubinfo: dt: 6/29/2022 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 157770110 157770110 157770110 10.1177/11782234221108058 157770110 ppf: 1 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Determining Prognostic Factors of Disease-Free Survival in Breast Cancer Using Censored Quantile Regression. aug: au: Yazdani, Akram Haghighat, Shahpar affil: Department of Biostatistics and Epidemiology, School of Public Health, Kashan University of Medical Sciences, Kashan, Iran sug: subj: Breast Neoplasms Prognosis Disease-Free Survival Cancer Patients Censorship Regression Retrospective Design Human Prediction Models Breast Neoplasms Radiotherapy Breast Neoplasms Drug Therapy Hormone Therapy Recurrence Prevention and Control Female Comparative Studies Female ab: Background: The analysis of disease-free survival and related factors leads to a better understanding of the patient's condition and recurrence-related characteristics and provides a basis for more appropriate treatment guidance. In this study, we aimed to investigate the role of prognostic factors on disease-free survival in breast cancer with a quantile regression model. Methods: This retrospective study was conducted by reviewing data obtained from 2056 breast cancer patients. Age at diagnosis and education status, tumor size, lymph node ratio, tumor grade, estrogen receptor and progesterone receptor, type of surgery, use of radiotherapy, chemotherapy, and hormone therapy were the prognosis factors considered in this study. A quantile regression model was used to investigate prognostic factors of disease-free survival in breast cancer. Results: Disease recurrence was verified in 251 (13.9%) women, and 39 (0.02%) women died before experience recurrence. The 10th percentile of disease-free survival for patients with the hormone therapy was 23.85 months greater than patients who did not receive this treatment (P value <.001). In the examination of the tumor size, the 10th and 20th percentiles of disease-free survival for patients with tumor size > 5 cm were 31.06 and 27 months less than patients with the tumor size < 2 cm, respectively (P value =.006 and.021, respectively). Compared with grade 1 tumors, the 10th and 20th percentiles of disease-free survival for patients with grade 3 tumors decreased 30.11 and 38.32 months, respectively (P value <.001 and.038, respectively). The 10th and 20th percentiles of disease-free survival decreased 28.16 and 45.32 months with a 1 unit increase in lymph node ratio, respectively (P value =.032 and.032, respectively). Conclusions: Among the prognostic factors, tumor size, grade, and lymph node ratio showed a close relationship with disease-free survival in breast cancer. The findings indicated that developing public screening and educational programs through the health care system with more emphasis on low-educated women is needed among Iranian women. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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