Evidence map›Paper›PMID 32671723›Full record

ArticleBreast cancer (Tokyo, Japan)2021

Triple-negative breast cancer incidence in the United States: ecological correlations with area-level sociodemographics, healthcare, and health behaviors.

Jennifer L Moss, Zaria Tatalovich, Li Zhu, Camille Morgan, Kathleen A Cronin

Abstract read
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  9. A Multiscale Spatiotemporal Epidemiological Analysis of Neighborhood Correlates of Triple-Negative Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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  13. Cell morphology best predicts tumorigenicity and metastasisbioRxiv : the preprint server for biology · 2023
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  15. Identifying Biomarkers Using Support Vector Machine to Understand the Racial Disparity in Triple-Negative Breast Cancer.Journal of computational biology : a journal of computational molecular cell biology · 2023
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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

5 authors.

Jennifer L MossCancer Prevention Fellowship Program, National Cancer Institute, Bethesda, MD, 20892, USA. jmoss1@pennstatehealth.psu.edu.ORCID http://orcid.org/0000-0002-3794-1344
Zaria TatalovichSurveillance Research Program, National Cancer Institute, Bethesda, MD, 20892, USA.
Li ZhuSurveillance Research Program, National Cancer Institute, Bethesda, MD, 20892, USA.
Camille MorganCenter for Global Health, National Cancer Institute, Bethesda, MD, 20892, USA.
Kathleen A CroninSurveillance Research Program, National Cancer Institute, Bethesda, MD, 20892, USA.

Funding

Overcoming barriers to cancer screening among women living in rural and segregated communitiesK22CA225705 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI MOSS, JENNIFER LINDSAY · 2019 to 2022
$629k
NCI NIH HHS K22 CA225705NCI NIH HHS Z99 CA999999
6 · The paper itself

Abstract

purposeTriple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer, more commonly diagnosed among black women than other subgroups. TNBC varies geographically, but little is known about area-level characteristics associated with elevated incidence.

methodsWe generated 2011-2013 age-adjusted TNBC incidence rates for state economic areas (SEAs) in 43 states using data from North American Association of Central Cancer Registries. For cases missing data on molecular markers, we imputed TNBC status using cross-marginal proportions. We linked these data to SEA covariates from national sources. Using linear ecological regression, we examined correlates of TNBC incidence rates for the overall population and for age (< 50 years or 50 + years)- or race (white or black)-specific subgroups.

resultsThe mean annual incidence of TNBC across SEAs was 13.7 per 100,000 women (range = 4.5-26.3), with especially high and variable rates among African American women (mean = 20.5, range 0.0-155.1). TNBC incidence was highest in South Atlantic and East South Central Census Divisions and lowest in Mountain Division. Overall TNBC incidence was associated with SEA sociodemographics (e.g., percent of females age 45 + who are non-Hispanic black: coefficient estimate [est.] = 1.62), healthcare characteristics (e.g., percent of population without health insurance: est. = - 0.52), and health behaviors (e.g., prevalence of obesity among women: est. = 0.72) (all p < 0.05). Other variables related to TNBC incidence included density of obstetrician/gynecologists and prevalence of smoking.

conclusionTNBC incidence varied across SEAs in the U.S., particularly for African American women. Identifying areas with elevated TNBC incidence can facilitate research and interventions on area- and individual-level correlates of TNBC.

Indexed as

Health BehaviorSocioeconomic FactorsAgedAge DistributionBlack or African AmericanFemaleGeographyHumansIncidenceMedically UninsuredMiddle AgedPublic HealthRegistriesRisk FactorsTriple Negative Breast NeoplasmsUnited StatesGeographic disparitiesHealth behaviorsHealthcareSociodemographicsTriple-negative breast cancer

Identifiers

PMID32671723
PMCPMC7796916

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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.