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1.
PLoS One ; 19(7): e0306612, 2024.
Article in English | MEDLINE | ID: mdl-39012888

ABSTRACT

PURPOSE: We present a methodically devised protocol for conducting a systematic review and meta-analysis aimed at ascertaining the prevalence of BReast CAncer gene (BRCA) mutations in breast and ovarian cancer (BOC) among women in India. The review will include cross-sectional, cohort, case-series, and registry-based studies focusing on females clinically diagnosed with any stage of BOC, tested for BRCA germline mutation and undergone any form of treatment. METHODS: A Cochrane literature search will be carried out to identify all the published and unpublished articles available in English from 2010 till date across various electronic databases including PubMed, Psych Info, SCI, Cochrane Central, Embase, Scopus, IND Med and Google Scholar. A step-by-step process will be followed to select all the relevant studies for final inclusion using Rayyan software. The selection process of the review will be reported based on Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA) checklist. The protocol has been registered in PROSPERO (ID: CRD42023463452). Joanna Briggs Institute Critical Appraisal Checklist will be used to evaluate the methodological quality of the included studies. The outcome measure will be the prevalence of BRCA1/2 gene mutation in this population. Meta-analysis will be performed to report the pooled prevalence along with 95% confidence interval. DISCUSSION: The results of this review study will provide valuable insights for clinicians, and policy makers, enabling them to formulate guidelines that underscore the importance of screening for BRCA mutations in cases of BOC.


Subject(s)
Breast Neoplasms , Ovarian Neoplasms , Systematic Reviews as Topic , Female , Humans , BRCA1 Protein/genetics , BRCA2 Protein/genetics , Breast Neoplasms/genetics , Breast Neoplasms/epidemiology , Germ-Line Mutation , India/epidemiology , Meta-Analysis as Topic , Mutation , Ovarian Neoplasms/genetics , Ovarian Neoplasms/epidemiology , Prevalence
2.
PLoS One ; 18(7): e0280371, 2023.
Article in English | MEDLINE | ID: mdl-37490490

ABSTRACT

OBJECTIVES: The main objective of this review is to summarize the evidence on the core modelling specifications and methodology on the cost-effectiveness of TKR compared to non-surgical management. Another objective of this study is to synthesize evidence of TKR cost and compare it across countries using purchasing power parity (PPP). METHODOLOGY: The electronic databases used for this review were MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), HTAIn repository, Cost effectiveness Analysis (CEA) registry, and Google Scholar. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) was used to assess the validity of the methods and transparency in reporting the results. The Quality of Health Economic Studies (QHES) was used to check the quality of economic evaluation models of the studies included. The cost of TKR surgery from high income and low- or middle-income countries were extracted and converted to single USD ($) using purchasing power parities (PPP) method. RESULT: Thirty-two studies were included in this review, out of which eight studies used Markov model, five used regression model, one each reported Marginal structure model, discrete simulation model, decision tree and Osteoarthritis Policy Model (OAPol) respectively to assess the cost-effectiveness of TKR. For PPP, twenty-six studies were included in the analysis of TKR cost. The average cost of TKR surgery was the lowest in developing country-India ($3457) and highest in USA ($19568). CONCLUSION: The findings of this review showed that the Markov model was most widely used in the analysis of the cost effectiveness of TKR. Our review also concluded that the cost of TKR was higher in the developed countries as compared to the developing countries.


Subject(s)
Arthroplasty, Replacement, Knee , Osteoarthritis , Humans , Cost-Benefit Analysis , Cost-Effectiveness Analysis , India , Models, Economic , Quality-Adjusted Life Years
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