Evidence map›Paper›PMID 27981060›Full record

ArticleAIMS public health2015

Geographic and Demographic Disparities in Late-stage Breast and Colorectal Cancer Diagnoses Across the US.

Lee R Mobley, Tzy-Mey May Kuo

Abstract read
In one paragraph

Article in AIMS public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

2 authors.

Lee R MobleySpatial Science and Health Economics, School of Public Health and Andrew Young School of Policy Studies, Georgia State University, Atlanta, GA, USA.
Tzy-Mey May KuoLineberger Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Geospatial Factors & Impacts: Measurement and UseR01CA126858 · NCI · RESEARCH TRIANGLE INSTITUTE · PI ANSELIN, LUC, MOBLEY, LEE R · 2007 to 2015
$3.4M
NCI NIH HHS R01 CA126858
6 · The paper itself

Abstract

problemIn 2009, breast cancer was the most common cancer in women, and colorectal cancer was the third most common cancer in both men and women. Currently, the majority of colorectal and almost 1/3 of breast cancers are diagnosed at an advanced stage in the US, which results in higher morbidity and mortality than would obtain with earlier detection. The incidence of late-stage cancer diagnoses varies considerably across the US, and few analyses have examined the entire US. PURPOSE: Using the newly available US Cancer Statistics database representing 98% of the US population, we perform multilevel analysis of the incidence of late-stage cancer diagnoses and translate the findings via bivariate mapping, answering questions related to both

methodsTo answer questions related to

conclusionsEmpirical modeling results show demographic disparities, while the spatial translation of empirical results shows geographic disparities that may be quite useful for state cancer control planning. Late stage BC and CRC diagnosis rates are not spatially random, manifesting as place-specific patterns that compare counties in individual states to counties across all states. Providing a relative comparison that enables assessment of how results in one state compare with others, this paper is to be disseminated to all state cancer control and central cancer registry program officials.

Indexed as

cancer controldemographic disparitygeographic disparitylate-stage cancer diagnosismultilevel modelingtranslational mapping

Identifiers

PMID27981060
PMCPMC5154625

What OpenQuestion holds

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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.