Evidence map›Paper›PMID 24265559›Full record

ArticleClinical epidemiology2013

Comorbidity and survival of Danish ovarian cancer patients from 2000-2011: a population-based cohort study.

Anne Fia Grann, Reimar Wernich Thomsen, Jacob Bonde Jacobsen, Mette Nørgaard, Jan Blaakær, Mette Søgaard

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Article in Clinical epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

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0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

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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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Development of a nomogram for predicting survival of patients with ovarian serous cystadenocarcinoma after based on SEER database.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2021
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anne Fia GrannDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Reimar Wernich Thomsen
Jacob Bonde Jacobsen
Mette Nørgaard
Jan Blaakær
Mette Søgaard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the prevalence of comorbidity among patients diagnosed with epithelial ovarian cancer in the Central Denmark Region and to study the impact of comorbidity on cancer survival over time.

methodsWe included women recorded with a first-time diagnosis of epithelial ovarian cancer in the Danish National Registry of Patients in the Central Denmark region between 2000 and 2011. We followed their survival through the Danish Civil Registration System. We estimated 1- and 5-year survival overall and stratified by Charlson Comorbidity Index score. We used Cox proportional hazard regression analyses to compute adjusted mortality rate ratios (MRRs) within different calendar time periods overall and by comorbidity level.

resultsWe identified 1,540 patients. In 2000-2002, 25% of the newly diagnosed ovarian cancer patients had a comorbidity diagnosis compared with 35% in 2009-2011. Median age increased from 61 to 66 years. One-year overall survival changed from 73% (95% confidence interval [CI]: 69-78) in 2000-2002 to 69% (95% CI: 63-73) in 2009-2011, corresponding to an age- and comorbidity-adjusted MRR of 1.03 (95% CI: 0.79-1.36). Five-year survival changed only slightly during the study period, from 37% (95% CI: 32-42) in 2000-2002 to 39% (95% CI: 34-44) in 2009-2011. In patients with Charlson score ≥3, 1-year survival changed from 63% (95% CI: 35-81) in 2000-2002 to 41% (95% CI: 24-57) in 2003-2005 and thereafter stabilized. One-year survival changed from 56% (95% CI: 44-66) to 64% (95% CI: 53-74) in patients with Charlson score 1-2. Compared with Charlson score 0, adjusted 1-year MRRs for Charlson score ≥3 were 1.44 (95% CI: 0.62-3.36) in 2000-2002 and 2.11 (95% CI: 1.27-3.51) in 2009-2011, whereas adjusted 1-year MRRs for Charlson score 1-2 changed from 2.04 (95% CI: 1.33-3.14) in 2000-2002 to 1.09 (95% CI: 0.69-1.71) in 2009-2011.

conclusionComorbidity increased among ovarian cancer patients over time and was associated with poor survival. One- and 5-year overall survivals changed only little and an expected decrease in survival, following increased prevalence of comorbidity and increasing age of patients, may have been counteracted by more aggressive surgery.

Indexed as

comorbidityepidemiologymortalityovarian neoplasmsurvival

Identifiers

PMID24265559
PMCPMC3833012

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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.