Evidence map›Paper›PMID 27939165›Full record

ArticleAnnals of epidemiology2017

Using residential segregation to predict colorectal cancer stage at diagnosis: two different approaches.

Lee R Mobley, Lia Scott, Yamisha Rutherford, Tzy-Mey Kuo

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Annals of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  4. Residential Segregation and Colorectal Cancer Screening in the United States, 2010 to 2018.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  7. Tools to Measure the Impact of Structural Racism and Discrimination on Gastrointestinal and Hepatology Disease Outcomes: A Scoping Review.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
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  12. A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace.International journal of environmental research and public health · 2022
    Review
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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.

Lee R MobleySchool of Public Health, Georgia State University, Atlanta. Electronic address: lmobley@gsu.edu.
Lia ScottSchool of Public Health, Georgia State University, Atlanta.
Yamisha RutherfordSchool of Public Health, Georgia State University, Atlanta.
Tzy-Mey KuoLineberger Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill.

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

purposeStudies have found a variety of evidence regarding the association between residential segregation measures and health outcomes in the United States. Some have focused on any individuals living in residentially segregated places, whereas others have examined whether persons of specific races or ethnicities living in places with high segregation of their own race or ethnicity have differential outcomes. This article compares and contrasts these two approaches in the study of predictors of late-stage colorectal cancer (CRC) diagnoses in a cross-national study. We argue that it is very important when interpreting results from studies like this to carefully consider the geographic scope of the analysis, which can significantly change the context and meaning of the results.

methodsWe use US Cancer Statistics Registry data from 40 states to identify late-stage diagnoses among over 500,000 CRC cases diagnosed during 2004-2009. We pool data over the states and estimate a multilevel model with person, county, and state levels and a random intercepts specification to ensure robust effect estimates. The isolation index of residential segregation is defined for racial and ethnic groups at the county level using Census 2000 data. The association between isolation indices and late-stage CRC diagnosis was measured by (1) anyone living in minority-segregated areas (place-centered approach) and by (2) individuals living in areas segregated by one's own racial or ethnic peers (person-centered approach).

resultsFindings from the place-centered approach suggest that living in a highly segregated African American community is associated with lower likelihood of late-stage CRC diagnosis, whereas the opposite is true for people living in highly segregated Asian communities, and living in highly segregated Hispanic communities has no significant association. Using the person-centered approach, we find that living in places segregated by one's racial or ethnic peers is associated with lower likelihood of late-stage CRC diagnosis.

conclusionsIn a model that covers a large geographic area across the nation, the place-centered approach is most likely picking up geographic disparities that may be deepened by targeted interventions in minority communities. By contrast, the person-centered approach provides a national average estimate suggesting that residential isolation may confer community cohesion or support that is associated with better CRC prevention.

Indexed as

RegistriesResidence CharacteristicsAdultAgedAsianBlack or African AmericanColorectal NeoplasmsDatabases, FactualEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedModels, StatisticalNeoplasm InvasivenessCancer controlGeographic disparitiesHealth disparitiesMultilevel analysis

Identifiers

PMID27939165
PMCPMC5272810

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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.