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Risk factors for early death among ovarian cancer patients: a nationwide cohort study

OBJECTIVE: To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths. METHODS: A nationwide cohort study covering ovarian cancer in Denmark in 2005–2016. Tumor and patient characteristics including comorbidity and socioecon...

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Autores principales: Mosgaard, Berit Jul, Meaidi, Amani, Høgdall, Claus, Noer, Mette Calundann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189078/
https://www.ncbi.nlm.nih.gov/pubmed/32026656
http://dx.doi.org/10.3802/jgo.2020.31.e30
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author Mosgaard, Berit Jul
Meaidi, Amani
Høgdall, Claus
Noer, Mette Calundann
author_facet Mosgaard, Berit Jul
Meaidi, Amani
Høgdall, Claus
Noer, Mette Calundann
author_sort Mosgaard, Berit Jul
collection PubMed
description OBJECTIVE: To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths. METHODS: A nationwide cohort study covering ovarian cancer in Denmark in 2005–2016. Tumor and patient characteristics including comorbidity and socioeconomic factors were obtained from the comprehensive Danish national registers. RESULTS: A total of 5,570 patients were included in the study. Three months after ovarian cancer diagnosis 456 (8.2%) had died and 664 (11.9%) died within 6 months of diagnosis. Adjusted for age and comorbidity, patients who died early were admitted to hospital significantly more often in a 6-month period before the diagnosis (odds ratio [OR]=1.61 [1.29–2.00], and OR=1.47 [1.21–1.78]), for patients who died within 3 and 6 months respectively). Low educational level (OR=2.11), low income (OR=2.50) and singlehood (OR=1.90) were factors significantly associated with higher risk of early death. The discriminative ability of risk factors in identifying early death was assessed by cross-validated area under the receiver operating characteristic curve (AUC). The AUC was found to be 0.91 (0.88–0.93) and 0.90 (0.87–0.92) for death within 3 and 6 months, respectively. CONCLUSIONS: Despite several admissions to hospital, the ovarian cancer diagnosis is delayed for a subgroup of patients, who end up dying early, probably due to physical deterioration in the ineffective waiting time. Up to 90% of high-risk patients might be identified significantly earlier to improve the prognosis. The admittance of the patients having risk symptoms should include fast track investigation for ovarian cancer.
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spelling pubmed-71890782020-05-07 Risk factors for early death among ovarian cancer patients: a nationwide cohort study Mosgaard, Berit Jul Meaidi, Amani Høgdall, Claus Noer, Mette Calundann J Gynecol Oncol Original Article OBJECTIVE: To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths. METHODS: A nationwide cohort study covering ovarian cancer in Denmark in 2005–2016. Tumor and patient characteristics including comorbidity and socioeconomic factors were obtained from the comprehensive Danish national registers. RESULTS: A total of 5,570 patients were included in the study. Three months after ovarian cancer diagnosis 456 (8.2%) had died and 664 (11.9%) died within 6 months of diagnosis. Adjusted for age and comorbidity, patients who died early were admitted to hospital significantly more often in a 6-month period before the diagnosis (odds ratio [OR]=1.61 [1.29–2.00], and OR=1.47 [1.21–1.78]), for patients who died within 3 and 6 months respectively). Low educational level (OR=2.11), low income (OR=2.50) and singlehood (OR=1.90) were factors significantly associated with higher risk of early death. The discriminative ability of risk factors in identifying early death was assessed by cross-validated area under the receiver operating characteristic curve (AUC). The AUC was found to be 0.91 (0.88–0.93) and 0.90 (0.87–0.92) for death within 3 and 6 months, respectively. CONCLUSIONS: Despite several admissions to hospital, the ovarian cancer diagnosis is delayed for a subgroup of patients, who end up dying early, probably due to physical deterioration in the ineffective waiting time. Up to 90% of high-risk patients might be identified significantly earlier to improve the prognosis. The admittance of the patients having risk symptoms should include fast track investigation for ovarian cancer. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2019-12-19 /pmc/articles/PMC7189078/ /pubmed/32026656 http://dx.doi.org/10.3802/jgo.2020.31.e30 Text en Copyright © 2020. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Mosgaard, Berit Jul
Meaidi, Amani
Høgdall, Claus
Noer, Mette Calundann
Risk factors for early death among ovarian cancer patients: a nationwide cohort study
title Risk factors for early death among ovarian cancer patients: a nationwide cohort study
title_full Risk factors for early death among ovarian cancer patients: a nationwide cohort study
title_fullStr Risk factors for early death among ovarian cancer patients: a nationwide cohort study
title_full_unstemmed Risk factors for early death among ovarian cancer patients: a nationwide cohort study
title_short Risk factors for early death among ovarian cancer patients: a nationwide cohort study
title_sort risk factors for early death among ovarian cancer patients: a nationwide cohort study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189078/
https://www.ncbi.nlm.nih.gov/pubmed/32026656
http://dx.doi.org/10.3802/jgo.2020.31.e30
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