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

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Risk factors for early death among ovarian cancer patients : A nationwide cohort study. / Mosgaard, Berit Jul; Meaidi, Amani; Høgdall, Claus; Noer, Mette Calundann.

I: Journal of Gynecologic Oncology, Bind 31, Nr. 3, e30, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mosgaard, BJ, Meaidi, A, Høgdall, C & Noer, MC 2020, 'Risk factors for early death among ovarian cancer patients: A nationwide cohort study', Journal of Gynecologic Oncology, bind 31, nr. 3, e30. https://doi.org/10.3802/jgo.2020.31.e30

APA

Mosgaard, B. J., Meaidi, A., Høgdall, C., & Noer, M. C. (2020). Risk factors for early death among ovarian cancer patients: A nationwide cohort study. Journal of Gynecologic Oncology, 31(3), [e30]. https://doi.org/10.3802/jgo.2020.31.e30

Vancouver

Mosgaard BJ, Meaidi A, Høgdall C, Noer MC. Risk factors for early death among ovarian cancer patients: A nationwide cohort study. Journal of Gynecologic Oncology. 2020;31(3). e30. https://doi.org/10.3802/jgo.2020.31.e30

Author

Mosgaard, Berit Jul ; Meaidi, Amani ; Høgdall, Claus ; Noer, Mette Calundann. / Risk factors for early death among ovarian cancer patients : A nationwide cohort study. I: Journal of Gynecologic Oncology. 2020 ; Bind 31, Nr. 3.

Bibtex

@article{788dac6052f742aa8ac3f6857a9aba9a,
title = "Risk factors for early death among ovarian cancer patients: A nationwide cohort study",
abstract = "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.",
keywords = "Comorbidity, Mortality, Ovarian cancer, Prognosis, Socioeconomic factors, Survival",
author = "Mosgaard, {Berit Jul} and Amani Meaidi and Claus H{\o}gdall and Noer, {Mette Calundann}",
year = "2020",
doi = "10.3802/jgo.2020.31.e30",
language = "English",
volume = "31",
journal = "Journal of Gynecologic Oncology",
issn = "2005-0380",
number = "3",

}

RIS

TY - JOUR

T1 - Risk factors for early death among ovarian cancer patients

T2 - A nationwide cohort study

AU - Mosgaard, Berit Jul

AU - Meaidi, Amani

AU - Høgdall, Claus

AU - Noer, Mette Calundann

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Comorbidity

KW - Mortality

KW - Ovarian cancer

KW - Prognosis

KW - Socioeconomic factors

KW - Survival

U2 - 10.3802/jgo.2020.31.e30

DO - 10.3802/jgo.2020.31.e30

M3 - Journal article

C2 - 32026656

AN - SCOPUS:85083913234

VL - 31

JO - Journal of Gynecologic Oncology

JF - Journal of Gynecologic Oncology

SN - 2005-0380

IS - 3

M1 - e30

ER -

ID: 256218208