Assessing the cost-effectiveness of precision medicine: Protocol for a systematic review and meta-analysis
Issued Date
2022-04-05
Resource Type
eISSN
20446055
Scopus ID
2-s2.0-85127666853
Pubmed ID
35383079
Journal Title
BMJ Open
Volume
12
Issue
4
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMJ Open Vol.12 No.4 (2022)
Suggested Citation
Chen W., Anothaisintawee T., Butani D., Wang Y., Zemlyanska Y., Wong C.B.N., Virabhak S., Hrishikesh M.A., Teerawattananon Y. Assessing the cost-effectiveness of precision medicine: Protocol for a systematic review and meta-analysis. BMJ Open Vol.12 No.4 (2022). doi:10.1136/bmjopen-2021-057537 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/85961
Title
Assessing the cost-effectiveness of precision medicine: Protocol for a systematic review and meta-analysis
Other Contributor(s)
Abstract
Introduction Precision medicine (PM) involves gene testing to identify disease risk, enable early diagnosis or guide therapeutic choice, and targeted gene therapy. We aim to perform a systematic review and meta-analysis to quantify the cost-effectiveness profile of PM stratified by intervention type, identify sources of heterogeneity in the value-for-money of PM. Methods and analysis We will perform a systematic search in Embase, MEDLINE, EconLit and CRD databases for studies published in English language or with translation in English between 1 January 2011 and 8 July 2021 on the topic of cost-effectiveness analysis of PM interventions. The focus will be on studies that reported health and economic outcomes. Study quality will be assessed using the Biases in Economic Studies checklist. The incremental net benefit of PM screening, diagnostic, treatment-targeting and therapeutic interventions over conventional strategies will be respectively pooled across studies using a random-effect model if heterogeneity is present, otherwise a fixed-effect model. Subgroup analyses will be performed based on disease area, WHO region and World Bank country-income level. Additionally, we will identify the potential sources of heterogeneity with random-effect meta-regressions. Finally, biases will be detected using jackknife sensitivity analysis, funnel plot assessment and Egger's tests. Ethics and dissemination For this type of study ethics approval or formal consent is not required. The results will be disseminated at various presentations and feedback sessions, in conference abstracts and manuscripts that will be submitted to peer-reviewed journals. PROSPERO registration number CRD42021272956.