Article thumbnail

A prognostic model for ovarian cancer

By T G Clark, M E Stewart, D G Altman, H Gabra and J F Smyth

Abstract

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≤ 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. http://www.bjcancer.com © 2001 Cancer Research Campaignhttp://www.bjcancer.co

Topics: Regular Article
Publisher: Nature Publishing Group
OAI identifier: oai:pubmedcentral.nih.gov:2375096
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles

Citations

  1. (1993). Analysis of patient age as an independent prognostic factor for survival in a Phase III study of cisplatincyclophosphamide versus carboplatin cyclophosphamide in Stages III and IV ovarian cancer.