Evidence map›Paper›PMID 21620446›Full record

ArticleGynecologic oncology2011

Impact of payer status on treatment of cervical cancer at a tertiary referral center.

Kimberly L Levinson, Robert E Bristow, Pamela K Donohue, Norma F Kanarek, Cornelia L Trimble

Abstract read
In one paragraph

Article in Gynecologic oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 86% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Kimberly L LevinsonDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA. klevins1@jhmi.edu
Robert E Bristow
Pamela K Donohue
Norma F Kanarek
Cornelia L Trimble
Johns Hopkins University · USUniversity of California, Irvine Medical Center · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

objectivesThe study aims to determine the impact of payer status on the likelihood of receiving definitive treatment for invasive cervical cancer at a tertiary medical center.

methodsAll consecutive patients presenting to Johns Hopkins Hospital with a diagnosis of invasive cervical cancer between 1/1/95-12/31/08 were retrospectively identified from the tumor registry. Demographic and clinical information were abstracted from the medical record. Payer status was categorized as private, public, no insurance, or unknown. Treatment was defined as surgery, chemo-radiation, chemotherapy, radiation, or no definitive therapy. The likelihood of receiving no definitive therapy was analyzed using Pearson chi-square analysis, univariate and multivariate models.

resultsA total of 306 patients were identified. Median age was 47 and 60% of patients had early stage disease at diagnosis (stages IA-IIA). Fifty-six percent of the cohort had private insurance, 34% had public insurance, and 6% had no insurance. Having no insurance was the single most significant risk factor associated with receiving no standard therapy. While 7% of privately insured and 4% of publicly insured patients did not receive definitive therapy, 16% of uninsured patients did not receive definitive treatment. In multivariate analysis controlling for age, race, stage, histology, and comorbidities, uninsured payer status was a significant and independent predictor of receiving no definitive treatment (OR 8.01, CI 1.265-50.694, p=0.027) than patients with public insurance.

conclusionsIn this study, uninsured payer status was significantly associated with a higher likelihood of not receiving standard therapy for cervical cancer. Additional studies are warranted to characterize specific barriers to care for this at-risk population.

Indexed as

Insurance, HealthAdultAgedAged, 80 and overCohort StudiesFemaleHumansMiddle AgedMultivariate AnalysisReferral and ConsultationRetrospective StudiesSEER ProgramUterine Cervical Neoplasms

Identifiers

PMID21620446
PMCPMC4612589
OpenAlexW1994513778

What OpenQuestion holds

Textmetadata
LicenceTDM
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.