Turner, P;
Fox-Lewis, A;
Shrestha, P;
Dance, DAB;
Wangrangsimakul, T;
Cusack, T-P;
Ling, CL;
Hopkins, J;
Roberts, T;
Limmathurotsakul, D;
et al.
Turner, P; Fox-Lewis, A; Shrestha, P; Dance, DAB; Wangrangsimakul, T; Cusack, T-P; Ling, CL; Hopkins, J; Roberts, T; Limmathurotsakul, D; Cooper, BS; Dunachie, S; Moore, CE; Dolecek, C; van Doorn, HR; Guerin, PJ; Day, NPJ; Ashley, EA
(2019)
Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data.
BMC Med, 17 (1).
p. 70.
ISSN 1741-7015
https://doi.org/10.1186/s12916-019-1301-1
SGUL Authors: Moore, Catrin Elisabeth
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.
Item Type: |
Article
|
Additional Information: |
© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
Keywords: |
Antimicrobial, Microbiology, Quality, Reporting, Resistance, Susceptibility, Checklist, Clinical Laboratory Services, Data Accuracy, Data Interpretation, Statistical, Datasets as Topic, Humans, Microbiological Techniques, Practice Guidelines as Topic, Publishing, Research Design, Research Report, Humans, Microbiological Techniques, Data Interpretation, Statistical, Research Design, Publishing, Practice Guidelines as Topic, Checklist, Research Report, Clinical Laboratory Services, Datasets as Topic, Data Accuracy, Antimicrobial, Susceptibility, Resistance, Microbiology, Reporting, Quality, 11 Medical and Health Sciences, General & Internal Medicine |
SGUL Research Institute / Research Centre: |
Academic Structure > Infection and Immunity Research Institute (INII) |
Journal or Publication Title: |
BMC Med |
ISSN: |
1741-7015 |
Language: |
eng |
Dates: |
Date | Event |
---|
29 March 2019 | Published | 6 March 2019 | Accepted |
|
Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
|
PubMed ID: |
30922309 |
Web of Science ID: |
WOS:000463400600001 |
|
Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/114461 |
Publisher's version: |
https://doi.org/10.1186/s12916-019-1301-1 |
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