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1.
BMJ Open ; 12(4): e057537, 2022 04 05.
Article in English | MEDLINE | ID: mdl-35383079

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.


Subject(s)
Mass Screening , Precision Medicine , Cost-Benefit Analysis , Humans , Meta-Analysis as Topic , Systematic Reviews as Topic
2.
BMJ Open ; 11(4): e043831, 2021 04 02.
Article in English | MEDLINE | ID: mdl-33811053

ABSTRACT

INTRODUCTION: Type 2 diabetes mellitus affects an individual's quality of life (QoL); and there are multiple instruments that can be used to measure QoL. The purpose of this systematic review is to identify the existing instruments that have been used to measure QoL in people living with diabetes, and to enlist the major domains (such as physical and psychological components) available in the identified instruments. Additionally, we plan to determine the psychometric properties of the identified QoL instruments using COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol guideline was followed to report this systematic review protocol. Searches will be conducted on MEDLINE (via PubMed, Web of Science), SCOPUS and CINAHL. Predetermined inclusion/exclusion criteria will be applied to the search results, to include studies with adult individuals diagnosed with type 2 diabetes mellitus, with and without complications, and exclude studies with type 1 diabetes or other clinical illness. Studies conducted outside India will be excluded. Five authors in pairs will independently screen the articles and extract the data that meets the inclusion criteria. The COSMIN criteria will be used to assess the risk of bias of included studies. Narrative synthesis will be performed to analyse the findings of the instruments. ETHICS AND DISSEMINATION: Ethical permission is not applicable, as this is a systematic review. We intend to disseminate the systematic review findings through a national or international conference and publish the findings in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020180432.


Subject(s)
Diabetes Mellitus, Type 2 , Quality of Life , Bias , Humans , India , Psychometrics , Research Design , Systematic Reviews as Topic
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