2010
DOI: 10.1016/j.jclinepi.2009.04.008
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A statistical method was used for the meta-analysis of tests for latent TB in the absence of a gold standard, combining random-effect and latent-class methods to estimate test accuracy

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Cited by 38 publications
(57 citation statements)
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“…We recognise the limitation of applying prior information into our model with relatively limited data as priors are subjective and may influence the final results. However, our choice of prior distribution used was based on prior information derived from a recent meta-analysis performed on published studies 7 8. Sensitivity analyses also showed that our results were data driven, and were not overly influenced by prior information.…”
Section: Discussionmentioning
confidence: 94%
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“…We recognise the limitation of applying prior information into our model with relatively limited data as priors are subjective and may influence the final results. However, our choice of prior distribution used was based on prior information derived from a recent meta-analysis performed on published studies 7 8. Sensitivity analyses also showed that our results were data driven, and were not overly influenced by prior information.…”
Section: Discussionmentioning
confidence: 94%
“…Hence it is appropriate to be used as the prior distribution for the prevalence of TAU, sensitivity and specificity of each test. Due to the lack of similar studies, we used the information from a meta-analysis of published studies representing different populations, which analysed the sensitivity and specificity of each test in the absence of a gold standard, as the next best alternative 7. The prior information for sensitivity and specificity of TST and T-SPOT.TB that were used are presented in table 1.…”
Section: Methodsmentioning
confidence: 99%
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“…Due to the inherent difficulties associated with comparing studies without head-to-head comparisons, without both sensitivity and specificity being calculated, and with variability in the TST positivity cutoff, Sadatsafavi et al applied statistical methods and performed a latentclass meta-analysis for the estimation of test accuracy (15). Their analyses showed sensitivities of 71%, 64%, and 50% and specificities of 68%, 99%, and 91% for the TST, QFT, and T-SPOT, respectively.…”
Section: Counterpointmentioning
confidence: 99%
“…Assessment of test performance is limited by the absence of a gold standard for comparison, but longitudinal follow-up and modelling studies suggest a significantly higher specificity and positive predictive value for IGRA than TST. 16,17 Perhaps the most accurate assessment for risk of latent tuberculosis results from a combination of tests and clinical review, including history of exposure and past treatment. However, this requires a higher degree of expertise than is provided by simple, dichotomous, interpretation of test results and is correspondingly more resource intensive than other alternatives.…”
mentioning
confidence: 99%