{"title":"亚洲和非洲国家中风幸存者的经济负担:一项系统评价、荟萃分析和元回归的方案","authors":"SummaiyaZareen Shaikh, Anant Patil, MohammedUsman Ali, Asmita Karajgi","doi":"10.4103/jncd.jncd_76_22","DOIUrl":null,"url":null,"abstract":"Introduction: Stroke is one of the leading causes of morbidity and mortality worldwide accompanied by huge financial burden on an individual and society. Objective: The objective is to estimate the economic burden by calculating the costs (per capita Gross Domestic Product (GDP)) on stroke survivors in African and Asian countries. Materials and Methods: Published electronic articles from inception till August 2022 will be screened from five databases: MEDLINE (PubMed), Scopus, Embase, Science Direct, and Web of Science. Effect sizes in the form of risk ratios and risk differences will be calculated for estimating the burden per capita income of the country. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis 2020 Guidelines, titles and abstracts will be screened by two authors independently. Any disagreements will be resolved by the third author. Rayyan QCRI software will be used for the inclusion of articles and removing of duplicates. Quality assessment will be conducted by the National Institute of Health (NIH) tool for observational and cross-sectional studies whereas risk of bias will be assessed using the Cochrane’s ROBINS-I tool for observational studies. RevMan 5.4 software will be used for plotting forest plots and further analysis. In case, heterogeneity is observed in the outcomes data, I2 statistics will be calculated to further the possibility of a meta-analysis. Publication bias will be assessed by plotting a funnel plot and “trim-and-fill method”. This systematic review will estimate the economic burden by collating data using socioeconomic indicators of stroke in African and Asian countries. The results will help policymakers in designing and allocation of resources in the two continents.","PeriodicalId":52935,"journal":{"name":"International Journal of Noncommunicable Diseases","volume":"15 1","pages":"0"},"PeriodicalIF":0.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Economic burden on stroke survivors in Asian and African countries: A protocol for systematic review, meta-analysis, and meta-regression\",\"authors\":\"SummaiyaZareen Shaikh, Anant Patil, MohammedUsman Ali, Asmita Karajgi\",\"doi\":\"10.4103/jncd.jncd_76_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Stroke is one of the leading causes of morbidity and mortality worldwide accompanied by huge financial burden on an individual and society. Objective: The objective is to estimate the economic burden by calculating the costs (per capita Gross Domestic Product (GDP)) on stroke survivors in African and Asian countries. Materials and Methods: Published electronic articles from inception till August 2022 will be screened from five databases: MEDLINE (PubMed), Scopus, Embase, Science Direct, and Web of Science. Effect sizes in the form of risk ratios and risk differences will be calculated for estimating the burden per capita income of the country. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis 2020 Guidelines, titles and abstracts will be screened by two authors independently. Any disagreements will be resolved by the third author. Rayyan QCRI software will be used for the inclusion of articles and removing of duplicates. Quality assessment will be conducted by the National Institute of Health (NIH) tool for observational and cross-sectional studies whereas risk of bias will be assessed using the Cochrane’s ROBINS-I tool for observational studies. RevMan 5.4 software will be used for plotting forest plots and further analysis. In case, heterogeneity is observed in the outcomes data, I2 statistics will be calculated to further the possibility of a meta-analysis. Publication bias will be assessed by plotting a funnel plot and “trim-and-fill method”. This systematic review will estimate the economic burden by collating data using socioeconomic indicators of stroke in African and Asian countries. 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引用次数: 0
摘要
脑卒中是世界范围内发病率和死亡率的主要原因之一,同时给个人和社会带来巨大的经济负担。目的:目的是通过计算非洲和亚洲国家中风幸存者的成本(人均国内生产总值(GDP))来估计经济负担。材料和方法:从成立到2022年8月,将从MEDLINE (PubMed), Scopus, Embase, Science Direct和Web of Science五个数据库中筛选已发表的电子文章。将计算风险比率和风险差异形式的效应量,以估计该国的人均收入负担。根据系统评价和元分析2020指南的首选报告项目,标题和摘要将由两位作者独立筛选。任何分歧将由第三作者解决。将使用Rayyan QCRI软件进行文章的收录和重复的删除。质量评估将由美国国立卫生研究院(NIH)的观察性和横断面研究工具进行,而偏倚风险将使用Cochrane的ROBINS-I观察性研究工具进行评估。RevMan 5.4软件将用于绘制森林图和进一步分析。如果在结局数据中观察到异质性,将计算I2统计量以进一步进行meta分析的可能性。通过绘制漏斗图和“修整填充法”评估发表偏倚。这一系统综述将通过使用非洲和亚洲国家中风的社会经济指标整理数据来估计经济负担。研究结果将有助于决策者在两大洲设计和分配资源。
Economic burden on stroke survivors in Asian and African countries: A protocol for systematic review, meta-analysis, and meta-regression
Introduction: Stroke is one of the leading causes of morbidity and mortality worldwide accompanied by huge financial burden on an individual and society. Objective: The objective is to estimate the economic burden by calculating the costs (per capita Gross Domestic Product (GDP)) on stroke survivors in African and Asian countries. Materials and Methods: Published electronic articles from inception till August 2022 will be screened from five databases: MEDLINE (PubMed), Scopus, Embase, Science Direct, and Web of Science. Effect sizes in the form of risk ratios and risk differences will be calculated for estimating the burden per capita income of the country. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis 2020 Guidelines, titles and abstracts will be screened by two authors independently. Any disagreements will be resolved by the third author. Rayyan QCRI software will be used for the inclusion of articles and removing of duplicates. Quality assessment will be conducted by the National Institute of Health (NIH) tool for observational and cross-sectional studies whereas risk of bias will be assessed using the Cochrane’s ROBINS-I tool for observational studies. RevMan 5.4 software will be used for plotting forest plots and further analysis. In case, heterogeneity is observed in the outcomes data, I2 statistics will be calculated to further the possibility of a meta-analysis. Publication bias will be assessed by plotting a funnel plot and “trim-and-fill method”. This systematic review will estimate the economic burden by collating data using socioeconomic indicators of stroke in African and Asian countries. The results will help policymakers in designing and allocation of resources in the two continents.