Evidence map›Paper›PMID 35197327›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2022

Disparity of ovarian cancer survival between urban and rural settings.

Keely Krolikowski Ulmer, Breanna Greteman, Nicholas Cardillo, Anthony Schneider, Megan McDonald, David Bender, Michael J Goodheart, Jesus Gonzalez Bosquet

Abstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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

8 authors.

Keely Krolikowski UlmerGynecologic Oncology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA keely-ulmer@uiowa.edu.
Breanna GretemanCollege of Epidemiology, The University of Iowa, Iowa City, Iowa, USA.
Nicholas CardilloGynecologic Oncology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Anthony SchneiderDepartment of Obstetrics and Gynecology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Megan McDonaldGynecologic Oncology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
David BenderGynecologic Oncology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Michael J GoodheartGynecologic Oncology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Jesus Gonzalez BosquetGynecologic Oncology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.ORCID 0000-0002-2079-4528

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
6 · The paper itself

Abstract

objectiveTo determine if there is a difference in overall survival of patients with epithelial ovarian cancer in rural, urban, and metropolitan settings in the United States.

methodsWe performed a retrospective cohort study using 2004-2016 National Cancer Database (NCDB) data including high and low grade, stage I-IV disease. Bivariate analyses used Student's t-test for continuous variables and χ

resultsA total of 111 627 patients were included with a mean age of 62.5 years for metroolitan (range 18-90), 64.0 years for rural (range 19-90) and 63.2 years for urban areas (range 18-90). Of all patients included, 94 290 were in a metropolitan area (counties >1 million population or 50 000-999 999), 15 386 were in an urban area (population of 10 000-49 999), and 1951 were in a rural area (non-metropolitan/non-core population). Univariate Cox proportional hazards models showed clinically significant differences in survival in patients from metropolitan, urban, and rural areas. Multivariate Cox proportional hazards models showed a clinically significant increase in HRs for patients in rural settings (HR 1.17; 95% CI 1.06 to 1.29). Increasing age and stage, non-insured status, non-white race, and comorbidity were also significant for poorer survival.

conclusionPatients with ovarian cancer who live in rural settings with small populations and greater distance to tertiary care centers have poorer survival. These differences hold after controlling for stage, age, and other significant risk factors related to poorer outcomes. To improve clinical outcomes, we need further studies to identify which of these factors are actionable.

Indexed as

Ovarian NeoplasmsRural PopulationCarcinoma, Ovarian EpithelialHumansMiddle AgedProportional Hazards ModelsRetrospective StudiesUnited StatesUrban Populationgynecologyneoplasmsovarian cancerquality of life (PRO)/palliative care

Identifiers

PMID35197327
PMCPMC8995817

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.