Evidence map›Paper›PMID 38281076›Full record

ArticleJournal of the National Cancer Institute2024

Simulating the population impact of interventions to reduce racial gaps in breast cancer treatment.

Juan Yanguela, Bradford E Jackson, Katherine E Reeder-Hayes, Mya L Roberson, Gabrielle B Rocque, Tzy-Mey Kuo, Matthew R LeBlanc, Christopher D Baggett, Laura Green, Erin Laurie-Zehr and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Juan YanguelaDepartment of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA.ORCID 0000-0001-7549-2503
Bradford E JacksonLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Katherine E Reeder-HayesLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-6903-0177
Mya L RobersonDepartment of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA.
Gabrielle B RocqueDivision of Hematology/Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0003-4188-9785
Tzy-Mey KuoLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Matthew R LeBlancLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Christopher D BaggettLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Laura GreenLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Erin Laurie-ZehrLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Stephanie B WheelerDepartment of Health Policy and Management, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · USUniversity of Alabama at Birmingham · US

Funding

IMProving Care After Inherited Cancer Testing (IMPACT) StudyU01CA254832 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CRAGUN, DEBORAH LE, PAL, TUYA · 2020 to 2024
$4.0M
American Association for Cancer ResearchAmerican Cancer SocietyCancer Information and Population Health ResourceNCI NIH HHS U01 CA254832NIH HHS NCI U01 CA254832-03S1North CarolinPfizer Global Medical FoundationUNC Lineberger Comprehensive Cancer CenterUniversity Cancer Research FundVictoria's Secret and Pelotonia 22-20-73-ROBE
6 · The paper itself

Abstract

backgroundInequities in guideline-concordant treatment receipt contribute to worse survival in Black patients with breast cancer. Inequity-reduction interventions (eg, navigation, bias training, tracking dashboards) can close such treatment gaps. We simulated the population-level impact of statewide implementation of inequity-reduction interventions on racial breast cancer inequities in North Carolina.

methodsUsing registry-linked multipayer claims data, we calculated inequities between Black and White patients receiving endocrine therapy (n = 12 033) and chemotherapy (n = 1819). We then built cohort-stratified (endocrine therapy and chemotherapy) and race-stratified Markov models to simulate the potential increase in the proportion of patients receiving endocrine therapy or chemotherapy and subsequent improvements in breast cancer outcomes if inequity-reducing intervention were implemented statewide. We report uncertainty bounds representing 95% of simulation results.

resultsIn total, 75.6% and 72.1% of Black patients received endocrine therapy and chemotherapy, respectively, over the 2006-2015 and 2004-2015 periods (vs 79.3% and 78.9% of White patients, respectively). Inequity-reduction interventions could increase endocrine therapy and chemotherapy receipt among Black patients to 89.9% (85.3%, 94.6%) and 85.7% (80.7%, 90.9%). Such interventions could also decrease 5-year and 10-year breast cancer mortality gaps from 3.4 to 3.2 (3.0, 3.3) and from 6.7 to 6.1 (5.9, 6.4) percentage points in the endocrine therapy cohorts and from 8.6 to 8.1 (7.7, 8.4) and from 8.2 to 7.8 (7.3, 8.1) percentage points in the chemotherapy cohorts.

conclusionsInequity-focused interventions could improve cancer outcomes for Black patients, but they would not fully close the racial breast cancer mortality gap. Addressing other inequities along the cancer continuum (eg, screening, pre- and postdiagnosis risk factors) is required to achieve full equity in breast cancer outcomes.

Indexed as

Black or African AmericanBreast NeoplasmsHealthcare DisparitiesWhiteAdultAgedFemaleHumansMiddle AgedNorth CarolinaRegistriesWhite People

Identifiers

PMID38281076
PMCPMC11160503
OpenAlexW4391294657

What OpenQuestion holds

Textmetadata
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.