Evidence map›Paper›PMID 35606835›Full record

ArticleHereditary cancer in clinical practice2022

Statewide trends and factors associated with genetic testing for hereditary cancer risk in Arkansas 2013-2018.

Mahip Acharya, Kristin K Zorn, Melinda E Simonson, Milan Bimali, Gary W Moore, Cheng Peng, Bradley C Martin

Abstract read
In one paragraph

Article in Hereditary cancer in clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mahip AcharyaDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, University of Arkansas for Medical Sciences College of Pharmacy, Education II Building 6253, 4301 W. Markham Street, slot 522, Little Rock, AR-72205, United States.
Kristin K ZornDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences College of Medicine, Little Rock, AR, United States.
Melinda E SimonsonDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences College of Medicine, Little Rock, AR, United States.
Milan BimaliDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Gary W MooreDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, University of Arkansas for Medical Sciences College of Pharmacy, Education II Building 6253, 4301 W. Markham Street, slot 522, Little Rock, AR-72205, United States.
Cheng PengDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, University of Arkansas for Medical Sciences College of Pharmacy, Education II Building 6253, 4301 W. Markham Street, slot 522, Little Rock, AR-72205, United States.
Bradley C MartinDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, University of Arkansas for Medical Sciences College of Pharmacy, Education II Building 6253, 4301 W. Markham Street, slot 522, Little Rock, AR-72205, United States. bmartin@uams.edu.ORCID http://orcid.org/0000-0001-8402-3098

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
NCATS NIH HHS UL1 TR003107NCATS NIH HHS ULI TR003107
6 · The paper itself

Abstract

backgroundEarly identification of hereditary cancer risk would save lives, but genetic testing (GT) has been inadequate. We assessed i) trends for hereditary breast and ovarian cancer (HBOC), Lynch syndrome, and other GT and ii) factors associated with receipt of GT.

methodsWe used data from the Arkansas All-Payer Claims Database from January 2013 through June 2018 (commercial, Medicaid), December 2017 (state employee), or December 2016 (Medicare) and identified enrollees with ≥1 month of enrollment. Using Current Procedural Terminology (CPT-4) codes, rates for GT were calculated per 100,000 person-quarters and time series regressions estimated. Second, GT and covariate information for enrollees with 24 months of continuous enrollment were used to estimate separate logistic regression models for each GT category.

resultsAmong 2,520,575 unique enrollees, HBOC testing rates were 2.2 (Medicaid), 22.0 (commercial), 40.4 (state employee), and 13.1(Medicare) per 100,000 person-quarters and increased linearly across all plans. Older age (OR=1.24; 95%CI 1.20 - 1.28), female sex (OR=18.91; 95%CI 13.01 - 28.86), higher comorbidity burden (OR=1.08; 95%CI 1.05 - 1.12), mental disorders (OR=1.53; 95%CI 1.15 - 2.00), and state employee coverage (OR=1.65; 95%CI 1.37 - 1.97) were positively associated with HBOC testing. Less than 1 of 10,000 enrollees received Lynch syndrome testing, while < 5 of 10,000 received HBOC testing.

conclusionGT rates for hereditary cancer syndromes have increased in Arkansas but remain low. Receipt of GT was explained with high discrimination by sex and plan type. IMPACT: Expansion of GT for hereditary cancer risk in Arkansas is needed to identify high-risk individuals who could benefit from risk-reduction strategies.

Indexed as

All Payer Claims DataArkansasGenetic testingHereditary cancersPredictive model

Identifiers

PMID35606835
PMCPMC9128197

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