Publication: Effect of study design and setting on tuberculosis clustering estimates using Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats (MIRU-VNTR): a systematic review
Open/View Files
Date
2015
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
BMJ Publishing Group
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Mears, Jessica, Ibrahim Abubakar, Theodore Cohen, Timothy D McHugh, and Pam Sonnenberg. 2015. “Effect of study design and setting on tuberculosis clustering estimates using Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats (MIRU-VNTR): a systematic review.” BMJ Open 5 (1): e005636. doi:10.1136/bmjopen-2014-005636. http://dx.doi.org/10.1136/bmjopen-2014-005636.
Research Data
Abstract
Objectives: To systematically review the evidence for the impact of study design and setting on the interpretation of tuberculosis (TB) transmission using clustering derived from Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats (MIRU-VNTR) strain typing. Data sources MEDLINE, EMBASE, CINHAL, Web of Science and Scopus were searched for articles published before 21st October 2014. Review methods Studies in humans that reported the proportion of clustering of TB isolates by MIRU-VNTR were included in the analysis. Univariable meta-regression analyses were conducted to assess the influence of study design and setting on the proportion of clustering. Results: The search identified 27 eligible articles reporting clustering between 0% and 63%. The number of MIRU-VNTR loci typed, requiring consent to type patient isolates (as a proxy for sampling fraction), the TB incidence and the maximum cluster size explained 14%, 14%, 27% and 48% of between-study variation, respectively, and had a significant association with the proportion of clustering. Conclusions: Although MIRU-VNTR typing is being adopted worldwide there is a paucity of data on how study design and setting may influence estimates of clustering. We have highlighted study design variables for consideration in the design and interpretation of future studies.
Description
Other Available Sources
Keywords
EPIDEMIOLOGY, MOLECULAR BIOLOGY
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service