Estimation of disability weight for paragonimiasis:a systematic analysis  

作　　者：Yun Feng Thomas Fürst Lu Liu Guo-Jing Yang 

机构地区：[1]Jiangsu Institute of Parasitic Diseases,117 Meiyuan Yangxiang,Wuxi City,Jiangsu Province 214064,People’s Republic of China [2]Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention,Wuxi,People’s Republic of China [3]Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology,Wuxi,People’s Republic of China [4]Department of Epidemiology and Public Health,Swiss Tropical and Public Health Institute,Socinstrasse 57,CH-4002 Basel,Switzerland [5]University of Basel,Basel,Switzerland

出　　处：《Infectious Diseases of Poverty》2018年第1期1163-1171,共9页贫困所致传染病（英文）

基　　金：This study is supported by the International Development Research Centre(IDRC),Canada(grant no.105509–00001002-024);Public Health Research Center,Jiangnan University(grant no.BM2015024);Outstanding Youth Fund,Jiangsu Institute of Parasitic Diseases;Jiangsu Provincial Project of Invigorating Health Care through Science,Technology and Education;and in part by a grant from the National Nature Science Foundation(grant no.81573261);the Health Promotion Project,Outstanding Person Fund,Jiangsu Provincial Department of Health(2011).

摘　　要：Background:Paragonimiasis,caused by helminths of the genus Paragonimus spp.,is a neglected tropical disease.Human suffering from paragonimiasis is often misunderstood and its quantification by the disability weight of the disability-adjusted life years largely varies in different global burden of disease(GBD)estimates.This paper is to systematically review clinical paragonimiasis cases and requantify the disability weight of human paragonimiasis.Methods:A systematic analysis was conducted using articles from the following databases:PubMed,Institute for Scientific Information Web of Science,China National Knowledge Infrastructure,the Chinese scientific journal databases Wanfang Data and CQVIP,Africa Journal Online,and the System for Information on Grey Literature in Europe.Search terms were the combination of“paragonim*”with“clinical”or“infection”.Only articles fulfilling the following conditions were recruited for this study:the occurrence of clinical signs and symptoms of paragonimiasis in human beings were reported;diagnosis was confirmed;no comorbidities were reported;the reviewed clinical cases or epidemiological findings were not already included in any other articles.The information and frequencies of paragonimiasis outcomes from included articles using predefined data fields were extracted two times by two separate individuals.Outcome disability weights were selected mainly from the GBD 2004 and GBD 2013 datasets.Frequencies and disability weights of paragonimiasis outcomes were modelled into a decision tree using the additive approach and multiplicative approach,respectively.Monte Carlo simulations were run 5000 times for an uncertainty analysis.Results:The disability weight estimates of paragonimiasis were simulated with 5302 clinical cases from 80 general articles.The overall disability weight was estimated at 0.1927(median 0.1956)with a 95%uncertainty interval(UI)of 0.1632-0.2378 using the additive approach,and 0.1791(median 0.1816)with a 95%UI of 0.1530-0.2182 using the multiplicative appr

关 键 词：PARAGONIMIASIS Disability weight Disease burden Disability-adjusted life years 

分 类 号：R38[医药卫生—医学寄生虫学]