Please use this identifier to cite or link to this item: https://doi.org/10.1136/bmjopen-2021-057537
Title: Assessing the cost-effectiveness of precision medicine: protocol for a systematic review and meta-analysis
Authors: Chen, Wenjia 
Anothaisintawee, Thunyarat
Butani, Dimple
Wang, Yi
Zemlyanska, Yaroslava 
Wong, Chong Boon Nigel 
Virabhak, Suchin
Hrishikesh, MA
Teerawattananon, Yot 
Keywords: Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
GENETICS
HEALTH ECONOMICS
PUBLIC HEALTH
HEALTH TECHNOLOGY-ASSESSMENT
ECONOMIC EVALUATIONS
CHALLENGES
FUTURE
TESTS
Issue Date: 1-Apr-2022
Publisher: BMJ PUBLISHING GROUP
Citation: Chen, Wenjia, Anothaisintawee, Thunyarat, Butani, Dimple, Wang, Yi, Zemlyanska, Yaroslava, Wong, Chong Boon Nigel, Virabhak, Suchin, Hrishikesh, MA, Teerawattananon, Yot (2022-04-01). Assessing the cost-effectiveness of precision medicine: protocol for a systematic review and meta-analysis. BMJ OPEN 12 (4). ScholarBank@NUS Repository. https://doi.org/10.1136/bmjopen-2021-057537
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.
Source Title: BMJ OPEN
URI: https://scholarbank.nus.edu.sg/handle/10635/226806
ISSN: 20446055
DOI: 10.1136/bmjopen-2021-057537
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