Evidence map›Paper›PMID 37436422›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Patterns of Evidence-Based Care for the Diagnosis, Staging, and First-line Treatment of Breast Cancer by Race-Ethnicity: A SEER-Medicare Study.

Emma L Herbach, Sarah H Nash, Ingrid M Lizarraga, Ryan M Carnahan, Kai Wang, Amy C Ogilvie, Michaela Curran, Mary E Charlton

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Comorbidities among American Indian and Alaska Native People with Cancer: A Surveillance, Epidemiology, and End Results-Medicare Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  7. Article
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  9. Article
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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

8 authors.

Emma L HerbachDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0003-4090-9174
Sarah H NashDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0002-9038-6001
Ingrid M LizarragaDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, Iowa.ORCID 0000-0001-9376-1746
Ryan M CarnahanDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0002-7478-4739
Kai WangDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0002-3229-9866
Amy C OgilvieDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0003-4399-2946
Michaela CurranDepartment of Community and Behavioral Health, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0003-3981-9550
Mary E CharltonDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.ORCID 0000-0003-2409-1018

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS P30 CA086862
6 · The paper itself

Abstract

backgroundRacial and ethnic disparities in guideline-recommended breast cancer treatment are well documented, however studies including diagnostic and staging procedures necessary to determine treatment indications are lacking. The purpose of this study was to characterize patterns in delivery of evidence-based services for the diagnosis, clinical workup, and first-line treatment of breast cancer by race-ethnicity.

methodsSEER-Medicare data were used to identify women diagnosed with invasive breast cancer between 2000 and 2017 at age 66 or older (n = 2,15,605). Evidence-based services included diagnostic procedures (diagnostic mammography and breast biopsy), clinical workup (stage and grade determination, lymph node biopsy, and HR and HER2 status determination), and treatment initiation (surgery, radiation, chemotherapy, hormone therapy, and HER2-targeted therapy). Poisson regression was used to estimate rate ratios (RR) and 95% confidence intervals (CI) for each service.

resultsBlack and American Indian/Alaska Native (AIAN) women had significantly lower rates of evidence-based care across the continuum from diagnostics through first-line treatment compared to non-Hispanic White (NHW) women. AIAN women had the lowest rates of HER2-targeted therapy and hormone therapy initiation. While Black women also had lower initiation of HER2-targeted therapy than NHW, differences in hormone therapy were not observed.

conclusionsOur findings suggest patterns along the continuum of care from diagnostic procedures to treatment initiation may differ across race-ethnicity groups. IMPACT: Efforts to improve delivery of guideline-concordant treatment and mitigate racial-ethnic disparities in healthcare and survival should include procedures performed as part of the diagnosis, clinical workup, and staging processes.

Indexed as

Breast NeoplasmsEthnicityAgedAmerican Indian or Alaska NativeBlack or African AmericanEvidence-Based MedicineFemaleHealthcare DisparitiesHispanic or LatinoHormonesHumansMedicareSEER ProgramUnited StatesWhiteHormones

Identifiers

PMID37436422
PMCPMC10592343

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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.