Each stratified model used separate, mixed-effects, binary, multivariable logistic regression analyses with study-level random effects. We assumed a conditional Bernoulli distribution of the response given the random effects. Models were adjusted for the variable of interest, baseline age, sex, previous tuberculosis, and whether data were collected prospectively or retrospectively. Age was adjusted within each age stratum. Analysing raw numbers might not translate well into adjusted odds ratios due to the mixed-effects model. IGRA=IFNγ release assay. TST=tuberculin skin test.