title: [A system review on the application of BED-capture enzyme immunoassay in detecting new HIV-1 infection].
abstract: OBJECTIVE
  To study whether BED-capture enzyme immunoassay (CEIA) is feasible to be used in wide-ranging population, we collect papers and conference abstracts related to BED-CEIA and HIV-1 incidence.
  
  
  METHODS
  10 papers are included for the discussion, regarding the concordance between the estimated HIV-1 incidence from BED-CEIA and the results from a cohort studies; and 11 papers are selected to discuss the related misclassification on the estimation of HIV-1 incidence.
  
  
  RESULTS
  Concordance between the two sets is related to the districts and design of research. Results from Africa are not so satisfactory, but researches, those BED-CEIA samples are collected during the follow-up of the cohort study, have shown better outcomes than other ones. There are totally 7303 samples of LTI (long-term infections) collected for analyzing the misclassification of BED-CEIA. 432 LTI are misclassified as new infections, making the raw rate of misclassification as 5.9% with 95% confidential interval between 5.36 and 6.44. Data from systematic review shows that the BED-CEIA's misclassification rate relates to the count of CD4(+)T lymphocytes and time after the infection but has no relation to the classification of sub-populations (female sexual workers and intravenous drug users in China) and districts (China and Africa).
  
  
  CONCLUSIONS
  Our results reveal that the misclassification is relevant to the immune-status of the infected persons.
authors.affiliation: National AIDS/HCV Reference Laboratory, National Center for AIDS/STD Control and Prevention, Beijing, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Tao
authors.forename: Jing
authors.initials: J
authors.lastname: Zhao
authors.forename: Yong
authors.initials: Y
authors.lastname: Liu
authors.forename: Ling-zhang
authors.initials: LZ
authors.lastname: Meng
authors.forename: Shi-cheng
authors.initials: SC
authors.lastname: Yu
authors.forename: Yan
authors.initials: Y
authors.lastname: Jiang
authors.forename: Yao
authors.initials: Y
authors.lastname: Xiao
mesh_terms: D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D015658:HIV Infections / Q000175:diagnosis* / Q000453:epidemiology*; D006801:Humans; D007124:Immunoenzyme Techniques / Q000379:methods*; D015994:Incidence