Evidence map›Paper›PMID 25885593›Full record

SynthesisBMC cancer2015

Residential environment and breast cancer incidence and mortality: a systematic review and meta-analysis.

Tomi F Akinyemiju, Jeanine M Genkinger, Maggie Farhat, Adrienne Wilson, Tiffany L Gary-Webb, Parisa Tehranifar

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 7 pooled it
8.1field-weighted citation impact, top 2% of its field
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

48 citing papers in PubMed, 7 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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  20. Neighborhood Contexts and Breast Cancer Among Asian American Women.Journal of immigrant and minority health · 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 at 3 institutions in 1 country.

Tomi F AkinyemijuDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. tomiakin@uab.edu.
Jeanine M GenkingerDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. jg3081@columbia.edu.
Maggie FarhatDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. Mag.farhat@gmail.com.
Adrienne WilsonDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA. deebz@umich.edu.
Tiffany L Gary-WebbDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. tgary@pitt.edu.
Parisa TehranifarDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. pt140@columbia.edu.
Columbia University · USColumbia University Irving Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

Training Program in Cancer-Related Population SciencesR25CA094061 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NEUGUT, ALFRED I. · 2002 to 2016
$5.9M
Multilevel Determinants of Breast Cancer: Translating Research into InterventionsK07CA151777 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TEHRANIFAR, PARISA · 2011 to 2015
$654k
NCI NIH HHS 2-R25-CA-094061NCI NIH HHS K07 CA 151777NCI NIH HHS K07 CA151777NCI NIH HHS R25 CA094061
6 · The paper itself

Abstract

backgroundFactors beyond the individual level such as those characterizing the residential environment may be important to breast cancer outcomes. We provide a systematic review and results of meta-analysis of the published empirical literature on the associations between breast cancer risk and mortality and features of the residential environment.

methodsUsing PRISMA guidelines, we searched four electronic databases and manually searched the references of selected articles for studies that were published before June 2013. We selected English language articles that presented data on adult breast cancer incidence or mortality in relation to at least one area-based residential (ABR) independent variable.

resultsWe reviewed 31 eligible studies, and observed variations in ABR construct definition and measurement, study design, and analytic approach. The most common ABR measures were indicators of socioeconomic status (SES) (e.g., income, education, summary measures of several SES indicators or composite SES). We observed positive associations between breast cancer incidence and urbanization (Pooled RR for urban vs. rural: 1.09. 95% CI: 1.01, 1.19), ABR income (Pooled RR for highest vs. lowest ABR income: 1.17, 95% CI: 1.15, 1.19) and ABR composite SES (Pooled RR for highest vs. lowest ABR composite SES: 1.25, 95% CI: 1.08, 1.44). We did not observe consistent associations between any ABR measures and breast cancer mortality.

conclusionsThe findings suggest modest positive associations between urbanization and residential area socioeconomic environment and breast cancer incidence. Further studies should address conceptual and methodological gaps in the current publications to enable inference regarding the influence of the residential environment on breast cancer.

Indexed as

Social ClassSocial EnvironmentAdolescentAdultAgedBreast NeoplasmsFemaleHumansIncomeMiddle Aged

Identifiers

PMID25885593
PMCPMC4396806
OpenAlexW1998939734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.