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.
|Number of pages||8|
|Journal||Malaysian Journal of Medical and Biological Research|
|Publication status||Published - 23 Mar 2017|
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- Ovarian cancer
- prognostic factor
- survival analysis
- Cox model
- Kaplan-Meier curve