Evidence map›Paper›PMID 34405292›Full record

ArticleBreast cancer research and treatment2021

Multilevel predictors of guideline concordant needle biopsy use for non-metastatic breast cancer.

Anja Zgodic, Jan M Eberth, Benjamin D Smith, Whitney E Zahnd, Swann A Adams, Brian P McKinley, Ronnie D Horner, Mark A O'Rourke, Dawn W Blackhurst, Matthew F Hudson

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Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 5 institutions in 1 country.

Anja ZgodicDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Jan M EberthDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Benjamin D SmithDepartments of Radiation Oncology and Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Whitney E ZahndRural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Swann A AdamsDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Brian P McKinleyDivision of Breast Surgery, Department of Surgery, Prisma Health, Greenville, SC, USA.
Ronnie D HornerDepartment of Health Service Research and Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
Mark A O'RourkePrisma Health Upstate Cancer Institute, Greenville, SC, USA.
Dawn W BlackhurstCancer Care Delivery Research, Prisma Health, 900 W. Faris Road, Greenville, SC, 29605, USA.
Matthew F HudsonCancer Care Delivery Research, Prisma Health, 900 W. Faris Road, Greenville, SC, 29605, USA. Matt.Hudson@prismahealth.org.ORCID http://orcid.org/0000-0001-6568-9118
Prisma Health · USUniversity of South Carolina · USNational Coalition for Cancer Survivorship · USNebraska Medical Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

prisma health Seed Grant for Cancer Care Delivery Research
6 · The paper itself

Abstract

purposePersistent breast cancer disparities, particularly geographic disparities, may be explained by diagnostic practice patterns such as utilization of needle biopsy, a National Quality Forum-endorsed quality metric for breast cancer diagnosis. Our objective was to assess the relationship between patient- and facility-level factors and needle biopsy receipt among women with non-metastatic breast cancer in the United States.

methodsWe examined characteristics of women diagnosed with breast cancer between 2004 and 2015 in the National Cancer Database. We assessed the relationship between patient- (e.g., race/ethnicity, stage, age, rurality) and facility-level (e.g., facility type, breast cancer case volume) factors with needle biopsy utilization via a mixed effects logistic regression model controlling for clustering by facility.

resultsIn our cohort of 992,209 patients, 82.96% received needle biopsy. In adjusted models, the odds of needle biopsy receipt were higher for Hispanic (OR 1.04, Confidence Interval 1.01-1.08) and Medicaid patients (OR 1.04, CI 1.02-1.08), and for patients receiving care at Integrated Network Cancer Programs (OR 1.21, CI 1.02-1.43). Odds of needle biopsy receipt were lower for non-metropolitan patients (OR 0.93, CI 0.90-0.96), patients with cancer stage 0 or I (at least OR 0.89, CI 0.86-0.91), patients with comorbidities (OR 0.93, CI 0.91-0.94), and for patients receiving care at Community Cancer Programs (OR 0.84, CI 0.74-0.96).

conclusionThis study suggests a need to account for sociodemographic factors including rurality as predictors of utilization of evidence-based diagnostic testing, such as needle biopsy. Addressing inequities in breast cancer diagnosis quality may help improve breast cancer outcomes in underserved patients.

Indexed as

Breast NeoplasmsBiopsy, NeedleEthnicityFemaleHealthcare DisparitiesHispanic or LatinoHumansMedicaidUnited StatesBreast cancerFemaleNational cancer databaseNeedle biopsy

Identifiers

PMID34405292
OpenAlexW3193359095

What OpenQuestion holds

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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.