Literature DB >> 7780092

Methodological issues in the estimation of the tuberculosis problem from tuberculin surveys.

H L Rieder1.   

Abstract

SETTING: National tuberculin skin test surveys.
OBJECTIVES: To review the operating characteristics of the tuberculin skin test, to ascertain the validity of estimating prevalence and risk of infection from tuberculin skin test surveys under various conditions, and to review constraints in the estimation of the magnitude of the tuberculosis problem in the community from such surveys.
METHODS: This report utilizes hypothetical and selected real data obtained in regional and national surveys at various points in time to exemplify methodological issues.
RESULTS: Risk of infection, the essence to be abstracted from tuberculin skin test surveys, theoretically allows for a comparison of the extent of transmission of tubercle bacilli in various populations. However, the conduct of tuberculin skin test surveys and the analysis and interpretation of their results are not free from important technical problems. Accurate estimation of infection prevalence is particularly vulnerable to the great variability of the test's specificity under various circumstances. Furthermore, the annual risk of infection has averaging characteristics that preclude a rapid assessment of changes in transmission patterns. Finally, estimates of infection risk do not necessarily provide a standardized parameter to derive incidence of infectious cases, because of variations in the quality of intervention and varying risks of progression from latent infection to overt tuberculosis.
CONCLUSIONS: While tuberculin skin test surveys provide the currently most widely used means of assessing tuberculosis transmission patterns over prolonged periods of time in a community, results from such surveys must be interpreted with caution when accurate estimates of the tuberculosis problem are sought.

Entities:  

Mesh:

Year:  1995        PMID: 7780092     DOI: 10.1016/0962-8479(95)90552-9

Source DB:  PubMed          Journal:  Tuber Lung Dis        ISSN: 0962-8479


  31 in total

1.  Improving the estimation of tuberculosis infection prevalence using T-cell-based assay and mixture models.

Authors:  M Pai; N Dendukuri; L Wang; R Joshi; S Kalantri; H L Rieder
Journal:  Int J Tuberc Lung Dis       Date:  2008-08       Impact factor: 2.373

2.  Changes in tuberculin skin test positivity over 20 years in periurban shantytowns in Lima, Peru.

Authors:  Leonardo Martinez; Alyssa Arman; Nathan Haveman; Ashley Lundgren; Lilia Cabrera; Carlton A Evans; Tom F Pelly; Mayuko Saito; David Callacondo; Richard Oberhelman; Gisela Collazo; Andrés M Carnero; Robert H Gilman
Journal:  Am J Trop Med Hyg       Date:  2013-07-22       Impact factor: 2.345

3.  Tuberculosis infection and disease among schoolchildren: the influence of the HIV epidemic and of other factors.

Authors:  J R Villalbí; H Galdós-Tangüís; J A Caylà; P Casañas; A Ferrer; M Nebot
Journal:  J Epidemiol Community Health       Date:  1999-02       Impact factor: 3.710

4.  Tuberculosis and the HIV epidemic: increasing annual risk of tuberculous infection in Kenya, 1986-1996.

Authors:  J A Odhiambo; M W Borgdorff; F M Kiambih; D K Kibuga; D O Kwamanga; L Ng'ang'a; R Agwanda; N A Kalisvaart; O Misljenovic; N J Nagelkerke; M Bosman
Journal:  Am J Public Health       Date:  1999-07       Impact factor: 9.308

5.  What has Karonga taught us? Tuberculosis studied over three decades.

Authors:  A C Crampin; J R Glynn; P E M Fine
Journal:  Int J Tuberc Lung Dis       Date:  2009-02       Impact factor: 2.373

6.  Multivariate Markovian modeling of tuberculosis: forecast for the United States.

Authors:  S M Debanne; R A Bielefeld; G M Cauthen; T M Daniel; D Y Rowland
Journal:  Emerg Infect Dis       Date:  2000 Mar-Apr       Impact factor: 6.883

7.  Sampling bias in the molecular epidemiology of tuberculosis.

Authors:  Megan Murray
Journal:  Emerg Infect Dis       Date:  2002-04       Impact factor: 6.883

8.  Interpreting tuberculin skin tests in a population with a high prevalence of HIV, tuberculosis, and nonspecific tuberculin sensitivity.

Authors:  Peter J Dodd; Kerry A Millington; Azra C Ghani; Junior Mutsvangwa; Anthony E Butterworth; Ajit Lalvani; Elizabeth L Corbett
Journal:  Am J Epidemiol       Date:  2010-04-09       Impact factor: 4.897

9.  A tuberculin skin test survey among Ghanaian school children.

Authors:  Kennedy Kwasi Addo; Susan van den Hof; Gloria Ivy Mensah; Adukwei Hesse; Christian Bonsu; Kwadwo Ansah Koram; Felix Kwami Afutu; Frank Adae Bonsu
Journal:  BMC Public Health       Date:  2010-01-26       Impact factor: 3.295

10.  Annual risk of tuberculous infection using different methods in communities with a high prevalence of TB and HIV in Zambia and South Africa.

Authors:  Kwame Shanaube; Charalambos Sismanidis; Helen Ayles; Nulda Beyers; Ab Schaap; Katherine-Anne Lawrence; Annie Barker; Peter Godfrey-Faussett
Journal:  PLoS One       Date:  2009-11-13       Impact factor: 3.240

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