Evidence map›Paper›PMID 23725885›Full record

ArticleSpatial and spatio-temporal epidemiology2013

Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.

Lung-Chang Chien, Hwa-Lung Yu, Mario Schootman

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  6. Hydrochemical environment of a fractured karst aquifer influenced by petroleum hydrocarbons.Environmental science and pollution research international · 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

3 authors.

Lung-Chang ChienDepartment of Internal Medicine, Division of Health Behavior Research, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 6700, St. Louis, MO 63108, USA. lchien@dom.wustl.edu
Hwa-Lung Yu
Mario Schootman

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Spatial, Temporal, Social Disparities in Breast CancerR01CA109675 · NCI · WASHINGTON UNIVERSITY · PI SCHOOTMAN, MARIO · 2008 to 2010
$1.1M
NCI NIH HHS CA109675NCI NIH HHS CA91842NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA109675
6 · The paper itself

Abstract

This study identified geographic disparities in breast cancer mortality across the U.S. using kriging to overcome unavailability of data because of confidentiality and reliability concerns. A structured additive regression model was used to detect where breast cancer mortality rates were elevated across nine divisions with 3109 U.S. counties during 1982-2004. Our analysis identified at least 25.8% of counties where breast cancer mortality rates were elevated. High-risk counties compared to lower-risk counties had higher relative risks for African American women than for White women. Greater geographic disparities more likely present in African American women and younger women. To sum up, our statistical approach reduced the impact of unavailable data, and identified the number and location of counties with high breast cancer mortality risk by race and age across the U.S.

Indexed as

Geography, MedicalAdultAgedAged, 80 and overAge DistributionBreast NeoplasmsFemaleGeographic MappingHumansMiddle AgedModels, StatisticalRacial GroupsRegression AnalysisSpatial AnalysisUnited States

Identifiers

PMID23725885
PMCPMC3671497

What OpenQuestion holds

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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.