Evidence map›Paper›PMID 28188191›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2017

Payer Coverage for Hereditary Cancer Panels: Barriers, Opportunities, and Implications for the Precision Medicine Initiative.

Julia R Trosman, Christine B Weldon, Michael P Douglas, Allison W Kurian, R Kate Kelley, Patricia A Deverka, Kathryn A Phillips

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Genetic Testing in a Population-Based Sample of Breast and Ovarian Cancer Survivors from the REACH Randomized Trial: Cost Barriers and Moderators of Counseling Mode.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Julia R TrosmanUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco, San Franscisco, California
Christine B WeldonUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco, San Franscisco, California
Michael P DouglasUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco, San Franscisco, California
Allison W KurianDepartments of Medicine and of Health Research and Policy, Stanford University School of Medicine, Stanford, California
R Kate KelleyUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco, San Franscisco, California
Patricia A DeverkaAmerican Institutes for Research, Chapel Hill, North Carolina
Kathryn A PhillipsUCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco, San Franscisco, California

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

PubMed holds no abstract for this paper.

Indexed as

Insurance CoverageGenetic TestingHealth Services AccessibilityHumansInsurance, Health, ReimbursementNeoplasmsPrecision MedicineQualitative ResearchRisk AssessmentUnited States

Identifiers

PMID28188191
PMCPMC5508568

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.