Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Paul Turner, Andrew Fox-Lewis, Poojan Shrestha, David A. B. Dance, Tri Wangrangsimakul, Tomas-Paul Cusack, Clare L. Ling, Jill Hopkins, Tamalee Roberts, Direk Limmathurotsakul, Ben S. Cooper, Susanna Dunachie, Catrin E. Moore, Christiane Dolecek, H. Rogier van Doorn, Philippe J. Guerin, Nicholas P. J. Day, Elizabeth A. Ashley

ABSTRACT

BACKGROUND: There is a pressing need to understand better the extent and distribution of antimicrobial resistance on a global scale, to inform development of effective interventions. Collation of datasets for meta-analysis, mathematical modelling and temporo-spatial analysis is hampered by the considerable variability in clinical sampling, variable quality in laboratory practice and inconsistencies in antimicrobial susceptibility testing and reporting. METHODS: The Microbiology Investigation Criteria for Reporting Objectively (MICRO) checklist was developed by an international working group of clinical and laboratory microbiologists, infectious disease physicians, epidemiologists and mathematical modellers. RESULTS: In keeping with the STROBE checklist, but applicable to all study designs, MICRO defines items to be included in reports of studies involving human clinical microbiology data. It provides a concise and comprehensive reference for clinicians, researchers, reviewers and journals working on, critically appraising, and publishing clinical microbiology datasets. CONCLUSIONS: Implementation of the MICRO checklist will enhance the quality and scientific reporting of clinical microbiology data, increasing data utility and comparability to improve surveillance, grade data quality, facilitate meta-analyses and inform policy and interventions from local to global levels. More... »

PAGES

70

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12916-019-1301-1

DOI

http://dx.doi.org/10.1186/s12916-019-1301-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113055622

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30922309


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