Incremental net benefit of whole genome sequencing for newborns and children with suspected genetic disorders: Systematic review and meta-analysis of cost-effectiveness evidence.

Cost-effectiveness Genetic testing Incremental net benefit Pediatric population Whole-exome sequencing Whole-genome sequencing

Journal

Health policy (Amsterdam, Netherlands)
ISSN: 1872-6054
Titre abrégé: Health Policy
Pays: Ireland
ID NLM: 8409431

Informations de publication

Date de publication:
04 2022
Historique:
received: 29 11 2021
revised: 16 02 2022
accepted: 01 03 2022
pubmed: 24 3 2022
medline: 8 4 2022
entrez: 23 3 2022
Statut: ppublish

Résumé

The introduction of massive parallel sequencing has contributed to a decline in sequencing costs. In recent years, whole-exome sequencing (WES) and whole-genome sequencing (WGS) have been increasingly adopted for diagnostic purposes in individuals with suspected genetic diseases. However, a debate is still ongoing in the scientific community about the superiority of WGS over WES in terms of cost-effectiveness. The aim of this study is to assess whether WGS, for the pediatric population with suspected genetic disorders, is cost-effective with respect to WES and chromosomal microarray (CMA) by pooling incremental net benefits. Articles were retrieved from PubMed, Web of Science, Embase and Scopus from 2015 to 2021. The dominance ranking matrix (DRM) tool was adopted to provide a qualitative synthesis of all the included studies. Incremental net benefits (INBs) were estimated and meta-analysis was implemented to pool INBs across studies. The database search identified 1600 publications of which four articles were considered eligible for the meta-analysis. The pooled INB of WGS over WES was estimated at I$4073 (95% CI I$2426 - I$5720). The pooled INB of WGS over CMA amounted to I$6003 (95% CI I$2863 - I$9143). WGS could be cost-effective in the diagnostic workup of affected infants and children. Further economic evaluations however are needed for comparing WGS versus WES and confirm the present conclusions.

Sections du résumé

BACKGROUND
The introduction of massive parallel sequencing has contributed to a decline in sequencing costs. In recent years, whole-exome sequencing (WES) and whole-genome sequencing (WGS) have been increasingly adopted for diagnostic purposes in individuals with suspected genetic diseases. However, a debate is still ongoing in the scientific community about the superiority of WGS over WES in terms of cost-effectiveness. The aim of this study is to assess whether WGS, for the pediatric population with suspected genetic disorders, is cost-effective with respect to WES and chromosomal microarray (CMA) by pooling incremental net benefits.
MATERIALS AND METHODS
Articles were retrieved from PubMed, Web of Science, Embase and Scopus from 2015 to 2021. The dominance ranking matrix (DRM) tool was adopted to provide a qualitative synthesis of all the included studies. Incremental net benefits (INBs) were estimated and meta-analysis was implemented to pool INBs across studies.
RESULTS
The database search identified 1600 publications of which four articles were considered eligible for the meta-analysis. The pooled INB of WGS over WES was estimated at I$4073 (95% CI I$2426 - I$5720). The pooled INB of WGS over CMA amounted to I$6003 (95% CI I$2863 - I$9143).
CONCLUSIONS
WGS could be cost-effective in the diagnostic workup of affected infants and children. Further economic evaluations however are needed for comparing WGS versus WES and confirm the present conclusions.

Identifiants

pubmed: 35317923
pii: S0168-8510(22)00057-4
doi: 10.1016/j.healthpol.2022.03.001
pii:
doi:

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Pagination

337-345

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Mario Cesare Nurchis (MC)

Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Advanced School of Health Economics and Management (ALTEMS), Faculty of Economics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.

Maria Teresa Riccardi (MT)

Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, 00168 Rome, Italy. Electronic address: mt.riccardi@gmail.com.

Francesca Clementina Radio (FC)

Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù IRCCS, 00146 Rome, Italy.

Giovanni Chillemi (G)

Department for Innovation in Biological Agro-food and Forest systems (DIBAF), University of Tuscia, 01100 Viterbo, Italy; Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Centro Nazionale delle Ricerche, 70126 Bari, Italy.

Enrico Silvio Bertini (ES)

Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù IRCCS, 00146 Rome, Italy.

Marco Tartaglia (M)

Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù IRCCS, 00146 Rome, Italy.

Americo Cicchetti (A)

Advanced School of Health Economics and Management (ALTEMS), Faculty of Economics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.

Bruno Dallapiccola (B)

Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù IRCCS, 00146 Rome, Italy.

Gianfranco Damiani (G)

Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.

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