Evidence map›Paper›PMID 17077390›Full record

ArticleAmerican journal of public health2006

Medicaid status and stage at diagnosis of cervical cancer.

Cynthia D O'Malley, Sarah J Shema, Lisa S Clarke, Christina A Clarke, Carin I Perkins

Abstract read
In one paragraph

Article in American journal of public health, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Disparities in human papillomavirus vaccine series initiation among adolescent girls enrolled in Florida Medicaid programs, 2006-2008.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2010
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  19. Age and comorbidities are effect modifiers of gender disparities in renal transplantation.Journal of the American Society of Nephrology : JASN · 2009
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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

5 authors.

Cynthia D O'MalleyNorthern California Cancer Center, Fremont, Calif 94538-2334, USA. comalley@nccc.org
Sarah J Shema
Lisa S Clarke
Christina A Clarke
Carin I Perkins

Funding

NCI NIH HHS N01-CN-65107
6 · The paper itself

Abstract

objectivesWe examined whether Medicaid beneficiaries are more likely to be diagnosed with late-stage cervical cancer than women not enrolled in Medicaid.

methodsUsing the California Cancer Registry-Medicaid linked file, we identified 4682 women diagnosed during 1996-1999 with invasive cervical cancer. Multivariate logistic regression was used to evaluate the association between late-stage diagnosis and prediagnosis Medicaid status.

resultsLate-stage disease was diagnosed in 51% of Medicaid and 42% of non-Medicaid women. Relative to women without Medicaid coverage, adjusted odds ratios for late-stage diagnosis were 2.8 times higher among women enrolled in Medicaid at the time of their diagnosis and 1.3 times higher among those intermittently enrolled before being diagnosed. Vietnamese women were less likely than White women to have advanced disease; the adjusted odds for women in other racial/ethnic groups did not differ from those among Whites. Women of low socioeconomic status and older women were at increased risk.

conclusionsWomen intermittently enrolled in Medicaid or not enrolled until their diagnosis were at greatest risk of a late-stage diagnosis, suggesting that more outreach to at-risk women is needed to ensure access to screening services.

Indexed as

Risk AssessmentAdultAge FactorsAsianAttitude to HealthBlack or African AmericanCaliforniaEarly DiagnosisFemaleHealth Services AccessibilityHispanic or LatinoHumansLogistic ModelsMedicaidMiddle AgedNeoplasm Staging

Identifiers

PMID17077390
PMCPMC1698154

What OpenQuestion holds

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Registered trials

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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.