Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Comparison of cox’s regression model and weibull’ parametric model in evaluating factors affecting in first recurrence of epithelial ovarian cancer

Fri May 24 10:23:38 2024

(2020) Comparison of cox’s regression model and weibull’ parametric model in evaluating factors affecting in first recurrence of epithelial ovarian cancer. Acta Medica Iranica. pp. 445-451. ISSN 00446025 (ISSN)

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Ovarian cancer is one of the most deadly women's gynecological malignancies in the world, and despite the low prevalence, it accounts for about 5 of all cancer deaths in women. Survival analysis is a regression relationship between a set of variables with a specific outcome, which is considered disease survival or recurrence in medical studies. The aim of this study is to determine the important factors in the first recurrence of patients with epithelial ovarian cancer with two statistics methods. In this study, we review medical records of patients with epithelial ovarian cancer who referred to the oncology and radiotherapy department of Imam Hossein Hospital of Tehran from the beginning of 2007 to the end of 2018. Univariate and multivariate Cox regression, as well as the parametric Weibull method, were used to investigate the factors affecting patients' first recurrence. We perform all calculations with Stata Ver14. Of the 141 patients, 58 patients (41) had a first recurrence during our follow-up. The mean time to the first recurrence was 24.88 months. Univariate Cox regression and univariate Weibull analysis showed that metastatic tumor and tumor stage had highly significant effects in the first recurrence of epithelial ovarian cancer. In multivariate Cox and multivariate Weibull analysis, the metastatic tumor had a significant effect in the first recurrence of epithelial ovarian cancer. One of the causes of ovarian cancer recurrence may be diagnosis happened at late stages. Therefore, screening programs are needed to reduce illness and death from ovarian cancer. © 2020 Tehran University of Medical Sciences. All rights reserved.

Item Type: Article
Creators:
CreatorsEmail
Deldar, M.UNSPECIFIED
Anbiaee, R.UNSPECIFIED
Jalilian, A.UNSPECIFIED
Sayehmiri, K.UNSPECIFIED
Azimi, S.UNSPECIFIED
Keywords: Cox regression Ovarian cancer Predictor Recurrence Weibull parametric method CA 125 antigen adult Article ascites body mass cancer grading cancer mortality cancer prognosis cancer recurrence cancer risk cancer staging cancer survival cohort analysis delayed diagnosis disease duration disease free survival female follow up hemoglobin blood level histology human leukocyte count major clinical study metastasis middle aged neoadjuvant chemotherapy ovary carcinoma platelet count proportional hazards model recurrence free survival recurrence risk retrospective study statistical model survival analysis weibull parametric model
Divisions:
Page Range: pp. 445-451
Journal or Publication Title: Acta Medica Iranica
Journal Index: Scopus
Volume: 58
Number: 9
ISSN: 00446025 (ISSN)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/3296

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