Literature DB >> 20975567

Evidence-based classification of recommendations on use of genomic tests in clinical practice: dealing with insufficient evidence.

Muin J Khoury, Ralph J Coates, James P Evans.   

Abstract

Numerous genomic tests continue to emerge as potential tools in the diagnosis, treatment, prognosis, and prevention for a wide variety of common human diseases. To date, most of these tests have "insufficient evidence" of clinical validity and utility for their use in clinical practice. Explicit and quantitative tools can be used in the evaluation of direct and indirect evidence on the utility of genomic tests. As suggested in an article in this month's issue by Veenstra et al., a recommendation matrix can be developed based on the amount of certainty of the evidence and the assessment of the risk-benefit profile. To supplement the current binary (up or down) evidence-based recommendation for use, it is worthwhile to explore all available data to develop a three-tier evidence-based recommendation classification of genomic tests ("use in practice," "promote informed decision-making," and "discourage use"). Promoting informed decision making may be a valuable recommendation for tests for which there is sufficient information on analytic and clinical validity and for which the risk/benefit analysis on clinical utility is promising but not definitive. This approach could provide interim guidance for clinical practice, while rigorous outcomes research is conducted to assess the impact of such tests on patients, families, and population health outcomes.

Entities:  

Mesh:

Year:  2010        PMID: 20975567     DOI: 10.1097/GIM.0b013e3181f9ad55

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  32 in total

1.  Implications of Internet availability of genomic information for public health practice.

Authors:  B W Hesse; N K Arora; M J Khoury
Journal:  Public Health Genomics       Date:  2012-04-04       Impact factor: 2.000

2.  Pharmacogenetics in clinical practice: how far have we come and where are we going?

Authors:  Julie A Johnson
Journal:  Pharmacogenomics       Date:  2013-05       Impact factor: 2.533

3.  Moving the Needle on Action Around Evidence-Based Screening for Hereditary Conditions: Preparing State Chronic Disease Directors to Advance Precision Public Health.

Authors:  Amy Ponte; Samantha Greenberg; Karen Greendale; Laura Senier
Journal:  Public Health Rep       Date:  2019-03-21       Impact factor: 2.792

4.  Challenges in returning results in a genomic medicine implementation study: the Return of Actionable Variants Empirical (RAVE) study.

Authors:  David C Kochan; Erin Winkler; Noralane Lindor; Gabriel Q Shaibi; Janet Olson; Pedro J Caraballo; Robert Freimuth; Joel E Pacyna; Carmen Radecki Breitkopf; Richard R Sharp; Iftikhar J Kullo
Journal:  NPJ Genom Med       Date:  2020-05-04       Impact factor: 8.617

Review 5.  Prioritizing genomic applications for action by level of evidence: a horizon-scanning method.

Authors:  W D Dotson; M P Douglas; K Kolor; A C Stewart; M S Bowen; M Gwinn; A Wulf; H M Anders; C Q Chang; M Clyne; T K Lam; S D Schully; M Marrone; W G Feero; M J Khoury
Journal:  Clin Pharmacol Ther       Date:  2014-02-19       Impact factor: 6.875

6.  Pharmacogenomics and personalized medicine in neuropsychiatry.

Authors:  Francis J McMahon; Thomas R Insel
Journal:  Neuron       Date:  2012-06-07       Impact factor: 17.173

7.  You never call, you never write: why return of 'omic' results to research participants is both a good idea and a moral imperative.

Authors:  Misha Angrist
Journal:  Per Med       Date:  2011-11       Impact factor: 2.512

8.  EXAMINING EVIDENCE IN U.S. PAYER COVERAGE POLICIES FOR MULTI-GENE PANELS AND SEQUENCING TESTS.

Authors:  James D Chambers; Cayla J Saret; Jordan E Anderson; Patricia A Deverka; Michael P Douglas; Kathryn A Phillips
Journal:  Int J Technol Assess Health Care       Date:  2017-10-25       Impact factor: 2.188

Review 9.  Collaborative cancer epidemiology in the 21st century: the model of cancer consortia.

Authors:  Michael R Burgio; John P A Ioannidis; Brett M Kaminski; Eric Derycke; Scott Rogers; Muin J Khoury; Daniela Seminara
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-09-17       Impact factor: 4.254

10.  Adherence to Recommended Risk Management among Unaffected Women with a BRCA Mutation.

Authors:  Adam H Buchanan; Corrine I Voils; Joellen M Schildkraut; Catherine Fine; Nora K Horick; P Kelly Marcom; Kristi Wiggins; Celette Sugg Skinner
Journal:  J Genet Couns       Date:  2016-06-06       Impact factor: 2.537

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.