A prognostic model for ovarian cancer.
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...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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2001
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| _version_ | 1797106205073604608 |
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| author | Clark, T Stewart, M Altman, D Gabra, H Smyth, J |
| author_facet | Clark, T Stewart, M Altman, D Gabra, H Smyth, J |
| author_sort | Clark, T |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T06:58:26Z |
| format | Journal article |
| id | oxford-uuid:feecd271-70d1-412a-9fc9-ae1f0b605d87 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:58:26Z |
| publishDate | 2001 |
| record_format | dspace |
| spelling | oxford-uuid:feecd271-70d1-412a-9fc9-ae1f0b605d872022-03-27T13:40:32ZA prognostic model for ovarian cancer.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:feecd271-70d1-412a-9fc9-ae1f0b605d87EnglishSymplectic Elements at Oxford2001Clark, TStewart, MAltman, DGabra, HSmyth, JAbout 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. |
| spellingShingle | Clark, T Stewart, M Altman, D Gabra, H Smyth, J A prognostic model for ovarian cancer. |
| title | A prognostic model for ovarian cancer. |
| title_full | A prognostic model for ovarian cancer. |
| title_fullStr | A prognostic model for ovarian cancer. |
| title_full_unstemmed | A prognostic model for ovarian cancer. |
| title_short | A prognostic model for ovarian cancer. |
| title_sort | prognostic model for ovarian cancer |
| work_keys_str_mv | AT clarkt aprognosticmodelforovariancancer AT stewartm aprognosticmodelforovariancancer AT altmand aprognosticmodelforovariancancer AT gabrah aprognosticmodelforovariancancer AT smythj aprognosticmodelforovariancancer AT clarkt prognosticmodelforovariancancer AT stewartm prognosticmodelforovariancancer AT altmand prognosticmodelforovariancancer AT gabrah prognosticmodelforovariancancer AT smythj prognosticmodelforovariancancer |