Evidence map›Paper›PMID 20602784›Full record

ArticleInternational journal of health geographics2010

Identification of racial disparities in breast cancer mortality: does scale matter?

Nancy Tian, Pierre Goovaerts, F Benjamin Zhan, Jeff G Wilson

Abstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

4 authors.

Nancy TianTexas Center for Geographic Information Science, Department of Geography, Texas State University-San Marcos, San Marcos, Texas 78666, USA. jt1277@txstate.edu
Pierre Goovaerts
F Benjamin Zhan
Jeff G Wilson

Funding

Geostatistical software for the analysis of individual-level epidemiologic dataR44CA132347 · NCI · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2009 to 2010
$857k
Geostatistical software for the boundary analysis of cancer mapsR43CA135814 · NCI · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2008 to 2008
$100k
NCI NIH HHS R43 CA135814NCI NIH HHS R43-CA135814-01NCI NIH HHS R44 CA132347NCI NIH HHS R44-CA132347-02
6 · The paper itself

Abstract

backgroundThis paper investigates the impact of geographic scale (census tract, zip code, and county) on the detection of disparities in breast cancer mortality among three ethnic groups in Texas (period 1995-2005). Racial disparities were quantified using both relative (RR) and absolute (RD) statistics that account for the population size and correct for unreliable rates typically observed for minority groups and smaller geographic units. Results were then correlated with socio-economic status measured by the percentage of habitants living below the poverty level.

resultsAfrican-American and Hispanic women generally experience higher mortality than White non-Hispanics, and these differences are especially significant in the southeast metropolitan areas and southwest border of Texas. The proportion and location of significant racial disparities however changed depending on the type of statistic (RR versus RD) and the geographic level. The largest proportion of significant results was observed for the RD statistic and census tract data. Geographic regions with significant racial disparities for African-Americans and Hispanics frequently had a poverty rate above 10.00%.

conclusionsThis study investigates both relative and absolute racial disparities in breast cancer mortality between White non-Hispanic and African-American/Hispanic women at the census tract, zip code and county levels. Analysis at the census tract level generally led to a larger proportion of geographical units experiencing significantly higher mortality rates for minority groups, although results varied depending on the use of the relative versus absolute statistics. Additional research is needed before general conclusions can be formulated regarding the choice of optimal geographic regions for the detection of racial disparities.

Indexed as

Cause of DeathHealth Status DisparitiesAdultAgedAge DistributionBlack or African AmericanBreast NeoplasmsCensusesConfidence IntervalsCross-Sectional StudiesDatabases, FactualFemaleHealth Knowledge, Attitudes, PracticeHispanic or LatinoHumansIncidence

Identifiers

PMID20602784
PMCPMC2910022

What OpenQuestion holds

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LicenceCC BY
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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.