An Investigation of survival following ovarian cancer

Jamil Hasan Karami, Kehui Luo, Thomas Fung, Jonathan Carter, Zongqun Ding

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    Abstract

    Ovarian cancer is one of the most malignant gynaecological cancer for women. Women with ovarian cancer generally have a poor prognosis with short survival. In our study, an exploratory analysis was carried out using the data routinely collected on patients with ovarian cancer, who were diagnosed and treated in a large hospital in Sydney. Survival following the diagnosis of ovarian cancer was examined in relation to several important prognostic factors, including FIGO stage, age, residual disease and histologic type, aiming to evaluate the effect size of each factor and build up a predictive model for survival. The predicted survival provides valuable information for patients and their families, and is particularly important in helping clinician and hospital with the management of each patient with ovarian cancer.
    Original languageEnglish
    Pages (from-to)27-34
    Number of pages8
    JournalMalaysian Journal of Medical and Biological Research
    Volume4
    Issue number1
    Publication statusPublished - 23 Mar 2017

    Bibliographical note

    Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • Ovarian cancer
    • prognostic factor
    • survival analysis
    • Cox model
    • Kaplan-Meier curve

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