Evidence map›Paper›PMID 28125086›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Utilization of genetic tests: analysis of gene-specific billing in Medicare claims data.

Julie A Lynch, Brygida Berse, W David Dotson, Muin J Khoury, Nicole Coomer, John Kautter

Abstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Hospital-level variation in genetic testing in children's hospitals' neonatal intensive care units from 2016 to 2021.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
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  15. Preemptive pharmacogenetic testing: exploring the knowledge and perspectives of US payers.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  16. Article
  17. Review
  18. From public health genomics to precision public health: a 20-year journey.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Review
  19. Article
  20. Trends in utilization and costs of BRCA testing among women aged 18-64 years in the United States, 2003-2014.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
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

6 authors.

Julie A LynchRTI International, Waltham, Massachusetts, USA.ORCID 0000-0003-0108-2127
Brygida BerseRTI International, Waltham, Massachusetts, USA.
W David DotsonCenters for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-9606-6594
Muin J KhouryCenters for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-9887-443X
Nicole CoomerRTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-3111-3775
John KautterRTI International, Waltham, Massachusetts, USA.ORCID 0000-0002-2530-4727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe examined the utilization of precision medicine tests among Medicare beneficiaries through analysis of gene-specific tier 1 and 2 billing codes developed by the American Medical Association in 2012.

methodsWe conducted a retrospective cross-sectional study. The primary source of data was 2013 Medicare 100% fee-for-service claims. We identified claims billed for each laboratory test, the number of patients tested, expenditures, and the diagnostic codes indicated for testing. We analyzed variations in testing by patient demographics and region of the country.

resultsPharmacogenetic tests were billed most frequently, accounting for 48% of the expenditures for new codes. The most common indications for testing were breast cancer, long-term use of medications, and disorders of lipid metabolism. There was underutilization of guideline-recommended tumor mutation tests (e.g., epidermal growth factor receptor) and substantial overutilization of a test discouraged by guidelines (methylenetetrahydrofolate reductase). Methodology-based tier 2 codes represented 15% of all claims billed with the new codes. The highest rate of testing per beneficiary was in Mississippi and the lowest rate was in Alaska.

conclusionsGene-specific billing codes significantly improved our ability to conduct population-level research of precision medicine. Analysis of these data in conjunction with clinical records should be conducted to validate findings.Genet Med advance online publication 26 January 2017.

Indexed as

AgedBiomarkers, TumorCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenetic TestingHumansInsurance Claim ReportingLung NeoplasmsMaleMedicareMiddle AgedPrecision MedicineRetrospective StudiesUnited StatesBiomarkers, Tumor

Identifiers

PMID28125086

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.