Evidence map›Paper›PMID 27657682›Full record

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

Payer decision making for next-generation sequencing-based genetic tests: insights from cell-free DNA prenatal screening.

Andrew P Dervan, Patricia A Deverka, Julia R Trosman, Christine B Weldon, Michael P Douglas, Kathryn A Phillips

Open access · bronzeAbstract read
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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  6. Insights From a Temporal Assessment of Increases in US Private Payer Coverage of Tumor Sequencing From 2015 to 2019.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Article
  7. Use of Real-World Evidence in US Payer Coverage Decision-Making for Next-Generation Sequencing-Based Tests: Challenges, Opportunities, and Potential Solutions.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Review
  8. Article
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  16. EXAMINING EVIDENCE IN U.S. PAYER COVERAGE POLICIES FOR MULTI-GENE PANELS AND SEQUENCING TESTS.International journal of technology assessment in health care · 2017
    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 at 4 institutions in 1 country.

Andrew P DervanDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-6482-8654
Patricia A DeverkaAmerican Institutes for Health Research and Innovation, Chapel Hill, North Carolina, USA.ORCID 0000-0002-1777-4286
Julia R TrosmanDepartment of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, California, USA.
Christine B WeldonDepartment of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-3918-0048
Michael P DouglasDepartment of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-8517-6678
Kathryn A PhillipsDepartment of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, California, USA.
Northwestern University · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington Medical Center · US

Funding

Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NHGRI NIH HHS R01 HG007063
6 · The paper itself

Abstract

purposeCell-free DNA (cfDNA) prenatal screening tests have been rapidly adopted into clinical practice, due in part to positive insurance coverage. We evaluated the framework payers used in making coverage decisions to describe a process that should be informative for other sequencing tests.

methodsWe analyzed coverage policies from the 19 largest US private payers with publicly available policies through February 2016, building from the University of California San Francisco TRANSPERS Payer Coverage Policy Registry.

resultsAll payers studied cover cfDNA screening for detection of trisomies 21, 18, and 13 in high-risk, singleton pregnancies, based on robust clinical validity (CV) studies and modeled evidence of clinical utility (CU). Payers typically evaluated the evidence for each chromosomal abnormality separately, although results are offered as part of a panel. Starting in August 2015, 8 of the 19 payers also began covering cfDNA screening in average-risk pregnancies, citing recent CV studies and updated professional guidelines. Most payers attempted, but were unable, to independently assess analytic validity (AV).

conclusionPayers utilized the standard evidentiary framework (AV/CV/CU) when evaluating cfDNA screening but varied in their interpretation of the sufficiency of the evidence. Professional guidelines, large CV studies, and decision analytic models regarding health outcomes appeared highly influential in coverage decisions.Genet Med advance online publication 22 September 2016.

Indexed as

Cell-Free Nucleic AcidsClinical Decision-MakingDecision MakingDown SyndromeFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansInsurance CoveragePregnancyPrenatal DiagnosisRegistriesSequence Analysis, DNATrisomyTrisomy 13 SyndromeTrisomy 18 SyndromeCell-Free Nucleic Acids

Identifiers

PMID27657682
PMCPMC5362360
OpenAlexW2523639088

What OpenQuestion holds

Textmetadata
LicenceTDM
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.