Figures
- FIGURE 1
PRISMA flowchart summarising identification of reports, retrieval of manuscripts and screening steps. CF: cystic fibrosis.
- FIGURE 2
Summary plots of quality appraisal of studies included in the systematic review using the Joanna Briggs Institute tool for systematic reviews of prevalence. Domain 5 applies to survey studies and was not evaluated. a) Summary of all included registry reports (n=44). b) Summary of all included non-registry reports (n=51). Overall risk of bias (ROB) determined as specified in methods.
- FIGURE 3
Random effects meta-analysis of LOGIT transformed nontuberculous mycobacterium infection prevalence (annual and point) in the cystic fibrosis population (n=21). Includes last registry year that reported raw numbers for cases and evaluated patients. White crosses in forest plot represent the whiskers of narrow confidence intervals.
- FIGURE 4
Meta-analyses of a) Mycobacterium abscessus complex and b) Mycobacterium avium complex infection in the cystic fibrosis population including studies that reported point and annual prevalence. White crosses in forest plot represent the whiskers of narrow confidence intervals.
Tables
- TABLE 1
Results of meta-regression for nontuberculous mycobacteria infection point prevalence
Coefficients LOGIT-estimate se 95% CI p-value Intercept −2.884 0.373 −3.615– −2.153 <0.01 Design (Ref.: Cross-sectional: registry) Cross-sectional: non-registry −0.290 0.893 −2.040–1.461 0.746 Cohort −0.268 0.726 −1.691–1.155 0.712 Sample size (Ref.: >3000) 1000–3000 0.978 0.652 −0.299–2.256 0.133 <1000 1.671 0.682 0.335–3.007 0.014 Region (Ref.: North American) European region −0.424 0.396 −1.201–0.353 0.285 Other regions# −1.302 0.501 −2.284– −0.320 0.009 Reporting year (Ref.: 2010–2019) 2000–2009 0.412 0.542 −0.651–1.474 0.447 Before year 2000 −0.652 0.490 −1.612–0.308 0.183 LOGIT-estimates are back-transformed to proportions through the formula ecoef/(1+ecoef). #: included Africa, Latin America and the Caribbean, and the Middle East.
Supplementary Material
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Supplementary methods, figures and tables 00336-2022.supplement
