A prognostic model for ovarian cancer

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Title: A prognostic model for ovarian cancer
Authors: Clark, TG
Stewart, ME
Altman, DG
Gabra, H
Smyth, JF
Item Type: Journal Article
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.
Issue Date: 2-Oct-2001
Date of Acceptance: 5-Jul-2001
URI: http://hdl.handle.net/10044/1/71748
DOI: https://doi.org/10.1054/bjoc.2001.2030
ISSN: 0007-0920
Publisher: Springer Nature
Start Page: 944
End Page: 952
Journal / Book Title: British Journal of Cancer
Volume: 85
Issue: 7
Copyright Statement: © 2001, Springer Nature. From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.
Keywords: Science & Technology
Life Sciences & Biomedicine
Oncology
ovarian cancer
prognostic model
overall survival
FIGO STAGE
SURVIVAL
CARCINOMA
REGRESSION
HISTOLOGY
CA-125
GRADE
AGE
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
Humans
Ovarian Neoplasms
Ascites
Alkaline Phosphatase
Serum Albumin
Neoplasm Staging
Prognosis
Regression Analysis
Predictive Value of Tests
Age of Onset
Health Status
Models, Theoretical
Adolescent
Adult
Aged
Aged, 80 and over
Middle Aged
Female
Science & Technology
Life Sciences & Biomedicine
Oncology
ovarian cancer
prognostic model
overall survival
FIGO STAGE
SURVIVAL
CARCINOMA
REGRESSION
HISTOLOGY
CA-125
GRADE
AGE
1112 Oncology and Carcinogenesis
Oncology & Carcinogenesis
Publication Status: Published
Online Publication Date: 2001-10-02
Appears in Collections:Division of Surgery
Division of Cancer



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