Literature DB >> 22300513

Laboratory-developed test--SynFRAME: an approach for assessing laboratory-developed tests synthesized from prior appraisal frameworks.

John Hornberger1, Julie Doberne, Rebecca Chien.   

Abstract

Since the late 1990 s, there has been an unprecedented growth in the development of new molecular and proteomic assays for clinical decision making. Despite the thousands of tests available, a standardized, well-defined, and coherent evaluation framework for these molecular assays is still lacking. We aim to summarize the publicly available appraisal criteria and to develop a succinct and accessible set of criteria that can provide a roadmap for the appraisal of gene-based laboratory developed tests (LDTs). We conducted a systematic literature review of the available molecular diagnostic framework in PubMed MD and CINAHL and identified 91 articles on existing appraisal criteria. We provided a summary of the historical appraisal system and developed an analysis of these appraisal systems, LDT-SynFRAME, which details the major criteria for evaluating molecular diagnostics in the clinical setting. Our goal with the LDT-SynFRAME system is to promote a well-informed dialog among all the stakeholders responsible for the development, approval, reimbursement, and use of new molecular classifiers.

Mesh:

Year:  2012        PMID: 22300513     DOI: 10.1089/gtmb.2011.0177

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  9 in total

1.  Clinical Utility of Combinatorial Pharmacogenomics-Guided Antidepressant Therapy: Evidence from Three Clinical Studies.

Authors:  C Anthony Altar; Joseph Carhart; Josiah D Allen; Daniel Hall-Flavin; Joel Winner; Bryan Dechairo
Journal:  Mol Neuropsychiatry       Date:  2015-07-31

2.  Effect of a genomic classifier test on clinical practice decisions for patients with high-risk prostate cancer after surgery.

Authors:  Ketan K Badani; Darby J Thompson; Gordon Brown; Daniel Holmes; Naveen Kella; David Albala; Amar Singh; Christine Buerki; Elai Davicioni; John Hornberger
Journal:  BJU Int       Date:  2014-08-11       Impact factor: 5.588

3.  How is genetic testing evaluated? A systematic review of the literature.

Authors:  Erica Pitini; Corrado De Vito; Carolina Marzuillo; Elvira D'Andrea; Annalisa Rosso; Antonio Federici; Emilio Di Maria; Paolo Villari
Journal:  Eur J Hum Genet       Date:  2018-02-08       Impact factor: 4.246

4.  A Systematic Review and Recommendations Around Frameworks for Evaluating Scientific Validity in Nutritional Genomics.

Authors:  Justine Keathley; Véronique Garneau; Daniela Zavala-Mora; Robyn R Heister; Ellie Gauthier; Josiane Morin-Bernier; Robert Green; Marie-Claude Vohl
Journal:  Front Nutr       Date:  2021-12-14

5.  Evaluating genomic tests from bench to bedside: a practical framework.

Authors:  Jennifer S Lin; Matthew Thompson; Katrina A B Goddard; Margaret A Piper; Carl Heneghan; Evelyn P Whitlock
Journal:  BMC Med Inform Decis Mak       Date:  2012-10-19       Impact factor: 2.796

6.  Impact of a genomic classifier of metastatic risk on postoperative treatment recommendations for prostate cancer patients: a report from the DECIDE study group.

Authors:  Ketan Badani; Darby J S Thompson; Christine Buerki; Elai Davicioni; Jill Garrison; Mercedeh Ghadessi; Anirban P Mitra; Penelope J Wood; John Hornberger
Journal:  Oncotarget       Date:  2013-04

7.  Societal cost-effectiveness analysis of the 21-gene assay in estrogen-receptor-positive, lymph-node-negative early-stage breast cancer in Japan.

Authors:  Hideko Yamauchi; Chizuko Nakagawa; Shinji Yamashige; Hiroyuki Takei; Hiroshi Yagata; Atsushi Yoshida; Naoki Hayashi; John Hornberger; Tiffany Yu; Calvin Chao; Carl Yoshizawa; Seigo Nakamura
Journal:  BMC Health Serv Res       Date:  2014-09-05       Impact factor: 2.655

8.  A proposal of a new evaluation framework towards implementation of genetic tests.

Authors:  Erica Pitini; Elvira D'Andrea; Corrado De Vito; Annalisa Rosso; Brigid Unim; Carolina Marzuillo; Antonio Federici; Emilio Di Maria; Paolo Villari
Journal:  PLoS One       Date:  2019-08-05       Impact factor: 3.240

9.  A Systematic Review of the Value Assessment Frameworks Used within Health Technology Assessment of Omics Technologies and Their Actual Adoption from HTA Agencies.

Authors:  Ilda Hoxhaj; Laurenz Govaerts; Steven Simoens; Walter Van Dyck; Isabelle Huys; Iñaki Gutiérrez-Ibarluzea; Stefania Boccia
Journal:  Int J Environ Res Public Health       Date:  2020-10-30       Impact factor: 3.390

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.