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논문 기본 정보

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저자정보
Berit Jul Mosgaard (Copenhagen University Hospital Copenhagen Denmark) Amani Meaidi (Copenhagen University Hospital Copenhagen Denmark) Claus Høgdall (Department of Gynecology Copenhagen University Hospital Rigshospitalet Copenhagen Denmark) Mette Calundann Noer (Copenhagen University Hospital Copenhagen Denmark)
저널정보
대한부인종양학회 Journal of Gynecologic Oncology Journal of Gynecologic Oncology Vol.31 No.3
발행연도
2020.1
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1 - 16 (16page)

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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.
#Ovarian Cancer #Mortality #Survival #Comorbidity #Socioeconomic Factors #Prognosis

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참고문헌 (38)

참고문헌 신청
Maringe C / 2012 / Stage at diagnosis and ovarian cancer survival : evidence from the International Cancer Benchmarking Partnership / Gynecol Oncol 127:75~82 google schola Walters S / 2013 / Comparability of stage data in cancer registries in six countries : lessons from the International Cancer Benchmarking Partnership / Int J Cancer 132:676~685 google schola Coleman MP / 2011 / Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995–2007(the International Cancer Benchmarking Partnership) : an analysis of population-based cancer registry data / Lancet 377:127~138 google schola Noer MC / 2018 / Confounders other than comorbidity explain survival differences in Danish and Swedish ovarian cancer patients-a comparative cohort study / Acta Oncol 57:1100~1108 google schola Engholm GF / Storm NORDCAN-a Nordic tool for cancer information, planning, quality control and research google schola

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