Evidence map›Paper›PMID 26497363›Full record

ArticleInternational journal of health geographics2015

Geographic disparities in late stage breast cancer incidence: results from eight states in the United States.

Zaria Tatalovich, Li Zhu, Alicia Rolin, Denise R Lewis, Linda C Harlan, Deborah M Winn

Abstract read
In one paragraph

Article in International journal of health geographics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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  7. Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

6 authors.

Zaria TatalovichDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. tatalovichzp@mail.nih.gov.
Li ZhuDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. zhul2@mail.nih.gov.
Alicia RolinDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. alicia.rolin@gmail.com.
Denise R LewisDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. blewisde@mail.nih.gov.
Linda C HarlanDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. harlanl@mail.nih.gov.
Deborah M WinnDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. winnde@mail.nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLate stage of cancer at diagnosis is an important predictor of cancer mortality. In many areas worldwide, cancer registry systems, available data and mapping technologies can provide information about late stage cancer by geographical regions, offering valuable opportunities to identify areas where further investigation and interventions are needed. The current study examined geographical variation in late stage breast cancer incidence across eight states in the United States with the objective to identify areas that might benefit from targeted interventions.

methodsData from the Surveillance Epidemiology and End Results Program on late stage breast cancer incidence was used as dependent variable in regression analysis and certain factors known to contribute to high rates of late stage cancer (socioeconomic characteristics, health insurance characteristics, and the availability and utilization of cancer screening) as covariates. Geographic information systems were used to map and highlight areas that have any combination of high late stage breast cancer incidence and significantly associated risk factors.

resultsThe differences in mean rates of late stage breast cancer between eight states considered in this analysis are statistically significant. Factors that have statistically negative association with late stage breast cancer incidence across the eight states include: density of mammography facilities, percent population with Bachelor's degree and English literacy while percent black population has statistically significant positive association with late stage breast cancer incidence.

conclusionsThis study describes geographic disparities in late stage breast cancer incidence and identifies areas that might benefit from targeted interventions. The results suggest that in the eight US states examined, higher rates of late stage breast cancer are more common in areas with predominantly black population, where English literacy, percentage of population with college degree and screening availability are low. The approach described in this work may be utilized both within and outside US, wherever cancer registry systems and technologies offer the same opportunity to identify places where further investigation and interventions for reducing cancer burden are needed.

Indexed as

Health Status DisparitiesSentinel SurveillanceBreast NeoplasmsFemaleGeographic Information SystemsHumansIncidenceUnited States

Identifiers

PMID26497363
PMCPMC4619382

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LicenceCC BY
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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.