Evidence map›Paper›PMID 38816709›Full record

ArticleBMC women's health2024

The interrelationship between obesity and race in breast cancer prognosis: a prospective cohort study.

Emma A Schindler, Cristiane Takita, Fernando Collado-Mesa, Isildinha M Reis, Wei Zhao, George R Yang, Laura G Acosta, Jennifer J Hu

Abstract read
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Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Emma A SchindlerDepartment of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA.
Cristiane TakitaSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
Fernando Collado-MesaDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
Isildinha M ReisDepartment of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA.
Wei ZhaoSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
George R YangDepartment of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA.
Laura G AcostaDepartment of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA.
Jennifer J HuDepartment of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 1511, Miami, FL, 33136, USA. jhu@med.miami.edu.ORCID http://orcid.org/0000-0002-0021-5699

Funding

Impact of Genomics on Disparities in Breast Cancer RadiosensitivityR01CA135288 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI HU, JENNIFER J · 2010 to 2014
$2.8M
NCI NIH HHS R01 CA135288NIH HHS R01CA135288
6 · The paper itself

Abstract

backgroundObesity is associated with an increased breast cancer risk in postmenopausal women and may contribute to worse outcomes. Black women experience higher obesity and breast cancer mortality rates than non-Black women. We examined associations between race, obesity, and clinical tumor stage with breast cancer prognosis.

methodsWe conducted a prospective cohort study in 1,110 breast cancer patients, using univariable and multivariable Cox regression analyses to evaluate the effects of obesity, race/ethnicity, and clinical tumor stage on progression-free and overall survival (PFS and OS).

results22% of participants were Black, 64% were Hispanic White, and 14% were non-Hispanic White or another race. 39% of participants were obese (body mass index [BMI] ≥ 30 kg/m

conclusionsResults suggest a complex interrelationship between obesity and race in breast cancer prognosis. The association between the Black race and worse PFS in tumor stages 0-II underscores the importance of early intervention in this group. Future studies are warranted to evaluate whether alternative measures of body composition and biomarkers are better prognostic indicators than BMI among Black breast cancer survivors.

Indexed as

Breast NeoplasmsObesityAdultAgedBlack or African AmericanBody Mass IndexCohort StudiesFemaleHispanic or LatinoHumansMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsProspective StudiesRacial GroupsBreast cancerObesityPrognosisRace/ethnicityTumor stage

Identifiers

PMID38816709
PMCPMC11138080

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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.