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About 6000 women in the United Kingdom develop ovarian cancer each year and about two-thirds of the women will die from the disease. Establishing the prognosis of a woman with ovarian cancer is an important part of her evaluation and treatment. Prognostic models and indices in ovarian cancer should be developed using large databases and, ideally, with complete information on both prognostic indicators and long-term outcome. We developed a prognostic model using Cox regression and multiple imputation from 1189 primary cases of epithelial ovarian cancer (with median follow-up of 4.6 years). We found that the significant (P< or = 0.05) prognostic factors for overall survival were age at diagnosis, FIGO stage, grade of tumour, histology (mixed mesodermal, clear cell and endometrioid versus serous papillary), the presence or absence of ascites, albumin, alkaline phosphatase, performance status on the ZUBROD-ECOG-WHO scale, and debulking of the tumour. This model is consistent with other models in the ovarian cancer literature; it has better predictive ability and, after simplification and validation, could be used in clinical practice.

Original publication

DOI

10.1038/sj.bjc.6692030

Type

Journal article

Journal

Br J Cancer

Publication Date

28/09/2001

Volume

85

Pages

944 - 952

Keywords

Adolescent, Adult, Age of Onset, Aged, Aged, 80 and over, Alkaline Phosphatase, Ascites, Female, Health Status, Humans, Middle Aged, Models, Theoretical, Neoplasm Staging, Ovarian Neoplasms, Predictive Value of Tests, Prognosis, Regression Analysis, Serum Albumin