title: Notification Rate of Tuberculosis among Migrants in China 2005-2014: A Systematic Review and Meta-analysis.
abstract: BACKGROUND
  Migrations have been reported to be associated with the high risk of tuberculosis (TB), but there is no systematic analysis of the available data for TB among migrant in China. The aim of this study was to examine the notification rate of active and sputum smear-positive TB by a systematic review and meta-analysis.
  
  
  METHODS
  A systematic review and meta-analysis were performed to examine the notification rate of active and sputum smear-positive TB among migrants in China. Two reviewers searched the cross-sectional studies published in PubMed, EMBASE, SciFinder, and Web of Science in English and in CNKI and Wanfang databases in Chinese. Pooled estimates of notification rate of TB among migrants were calculated using a random effects model. Meta-regression analysis and subgroup analysis stratified by year, region were also performed.
  
  
  RESULTS
  Seventy eligible studies met the inclusion criteria for the final analysis. The overall notification rate of active TB and sputum smear-positive cases among migrants were 53.12 (95% confidence interval [CI]: 47.32-59.63) and 24.53 (95% CI: 22.01-27.34) per 100,000 populations, respectively. The notification rate of active TB significantly increased from 50.95 (95% CI: 41.11-63.14) per 100,000 populations in 2005 to 84.62 (95% CI: 78.00-91.80) per 100,000 populations in 2014 while that of smear-positive TB was constant during the study time (P = 0.79). The geographic difference was identified both for active and sputum smear-positive TB, with the higher notification rates mainly distributing along the eastern coastal areas.
  
  
  CONCLUSIONS
  The pooled estimate of active TB and sputum smear-positive TB among migrants was lower than the national notification rate among general population, but the gap between our data and national notification rate among general population is narrowed down during 2005-2014.
authors.affiliation: Department of Drug Epidemiology, National Institute of Drug Dependence, Health Science Center, Peking University, Beijing 100191; Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Peking University, Beijing 100191, China.
authors.forename: Yi-Xuan
authors.initials: YX
authors.lastname: Sun
authors.affiliation: Department of Drug Epidemiology, National Institute of Drug Dependence, Health Science Center, Peking University, Beijing 100191; Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Peking University, Beijing 100191, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhu
authors.affiliation: Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China.
authors.forename: Zu-Hong
authors.initials: ZH
authors.lastname: Lu
authors.affiliation: Department of Drug Epidemiology, National Institute of Drug Dependence, Health Science Center, Peking University, Beijing 100191, China.
authors.forename: Zhong-Wei
authors.initials: ZW
authors.lastname: Jia
mesh_terms: D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D013183:Sputum / Q000382:microbiology; D014171:Transients and Migrants / Q000706:statistics & numerical data; D014376:Tuberculosis / Q000453:epidemiology*