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

Autor: 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
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMC Medicine, Vol 17, Iss 1, Pp 1-8 (2019)
Druh dokumentu: article
ISSN: 1741-7015
DOI: 10.1186/s12916-019-1301-1
Popis: 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.
Databáze: Directory of Open Access Journals
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