Evidence map›Paper›PMID 32026656›Full record

ArticleJournal of gynecologic oncology2020

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

Berit Jul Mosgaard, Amani Meaidi, Claus Høgdall, Mette Calundann Noer

Abstract read
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Article in Journal of gynecologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Berit Jul MosgaardDepartment of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. berit.jul.mosgaard.01@regionh.dk.ORCID https://orcid.org/0000-0002-3043-6986
Amani MeaidiDepartment of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-4549-8271
Claus HøgdallDepartment of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-5959-8874
Mette Calundann NoerDepartment of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-6576-6221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths.

methodsA 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.

resultsA 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.

conclusionsDespite 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.

Indexed as

Ovarian NeoplasmsAdultAgedCohort StudiesFemaleHumansMiddle AgedRegistriesRisk FactorsComorbidityMortalityOvarian CancerPrognosisSocioeconomic FactorsSurvival

Identifiers

PMID32026656
PMCPMC7189078

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.