Literature DB >> 16984061

Genetic screening by DNA technology: a systematic review of health economic evidence.

Wolf Rogowski1.   

Abstract

OBJECTIVES: The Human Genome Project has led to a multitude of new potential screening targets on the level of human DNA. The aim of this systematic review is to critically summarize the evidence from health economic evaluations of genetic screening in the literature.
METHODS: Based on an extensive explorative search, an appropriate algorithm for a systematic database search was developed. Twenty-one health economic evaluations were identified and appraised using published quality criteria.
RESULTS: Genetic screening for eight conditions has been found to be investigated by health economic evaluation: hereditary breast and ovarian cancer, familial adenomatous polyposis (FAP) colorectal cancer, hereditary nonpolyposis colorectal carcinoma (HNPCC), retinoblastoma, familial hypercholesterolemia, hereditary hemochromatosis, insulin-dependent diabetes mellitus, and cystic fibrosis. Results range from dominated to cost-saving. Population-wide genetic screening may be considered cost-effective with limited quality of evidence only for three conditions. The methodology of the studies was of varying quality. Cost-effectiveness was primarily influenced by mutation prevalence, genetic test costs, mortality risk, effectiveness of treatment, age at screening, and discount rate.
CONCLUSIONS: Health economic evidence on genetic screening is limited: Only few conditions have properly been evaluated. Based on the existing evidence, healthcare decision makers should consider the introduction of selective genetic screening for FAP and HNPCC. As genetic test costs are declining, the existing evaluations may warrant updating. Especially in the case of hereditary hemochromatosis, genetic population screening may be about to turn from a dominated to a cost-effective or even cost-saving intervention.

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Year:  2006        PMID: 16984061     DOI: 10.1017/s0266462306051221

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  19 in total

1.  Points to consider in assessing and appraising predictive genetic tests.

Authors:  Wolf H Rogowski; Scott D Grosse; Jürgen John; Helena Kääriäinen; Alastair Kent; Ulf Kristofferson; Jörg Schmidtke
Journal:  J Community Genet       Date:  2010-10-16

Review 2.  Precision Medicine: From Science To Value.

Authors:  Geoffrey S Ginsburg; Kathryn A Phillips
Journal:  Health Aff (Millwood)       Date:  2018-05       Impact factor: 6.301

Review 3.  Challenges of translating genetic tests into clinical and public health practice.

Authors:  Wolf H Rogowski; Scott D Grosse; Muin J Khoury
Journal:  Nat Rev Genet       Date:  2009-07       Impact factor: 53.242

4.  Methodological reviews of economic evaluations in health care: what do they target?

Authors:  Maria-Florencia Hutter; Roberto Rodríguez-Ibeas; Fernando Antonanzas
Journal:  Eur J Health Econ       Date:  2013-08-24

5.  Criteria for fairly allocating scarce health-care resources to genetic tests: which matter most?

Authors:  Wolf H Rogowski; Scott D Grosse; Jörg Schmidtke; Georg Marckmann
Journal:  Eur J Hum Genet       Date:  2013-08-07       Impact factor: 4.246

Review 6.  Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. Background Document to the ESHG recommendations on genetic testing and common disorders.

Authors:  Frauke Becker; Carla G van El; Dolores Ibarreta; Eleni Zika; Stuart Hogarth; Pascal Borry; Anne Cambon-Thomsen; Jean Jacques Cassiman; Gerry Evers-Kiebooms; Shirley Hodgson; A Cécile J W Janssens; Helena Kaariainen; Michael Krawczak; Ulf Kristoffersson; Jan Lubinski; Christine Patch; Victor B Penchaszadeh; Andrew Read; Wolf Rogowski; Jorge Sequeiros; Lisbeth Tranebjaerg; Irene M van Langen; Helen Wallace; Ron Zimmern; Jörg Schmidtke; Martina C Cornel
Journal:  Eur J Hum Genet       Date:  2011-04       Impact factor: 4.246

7.  Genetic testing in the European Union: does economic evaluation matter?

Authors:  Fernando Antoñanzas; R Rodríguez-Ibeas; M F Hutter; R Lorente; C Juárez; M Pinillos
Journal:  Eur J Health Econ       Date:  2011-05-20

8.  Valuations of genetic test information for treatable conditions: the case of colorectal cancer screening.

Authors:  Vikram Kilambi; F Reed Johnson; Juan Marcos González; Ateesha F Mohamed
Journal:  Value Health       Date:  2014-11-06       Impact factor: 5.725

Review 9.  Pharmacoeconomic evaluations of pharmacogenetic and genomic screening programmes: a systematic review on content and adherence to guidelines.

Authors:  Stefan Vegter; Cornelis Boersma; Mark Rozenbaum; Bob Wilffert; Gerjan Navis; Maarten J Postma
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

10.  Incomplete coverage of candidate genes: a poorly considered bias.

Authors:  Antonio Drago; Diana De Ronchi; Alessandro Serretti
Journal:  Curr Genomics       Date:  2007-11       Impact factor: 2.236

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