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Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data
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 consi...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440102/ https://www.ncbi.nlm.nih.gov/pubmed/30922309 http://dx.doi.org/10.1186/s12916-019-1301-1 |
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author | Turner, Paul Fox-Lewis, Andrew Shrestha, Poojan Dance, David A. B. Wangrangsimakul, Tri Cusack, Tomas-Paul Ling, Clare L. Hopkins, Jill Roberts, Tamalee Limmathurotsakul, Direk Cooper, Ben S. Dunachie, Susanna Moore, Catrin E. Dolecek, Christiane van Doorn, H. Rogier Guerin, Philippe J. Day, Nicholas P. J. Ashley, Elizabeth A. |
author_facet | Turner, Paul Fox-Lewis, Andrew Shrestha, Poojan Dance, David A. B. Wangrangsimakul, Tri Cusack, Tomas-Paul Ling, Clare L. Hopkins, Jill Roberts, Tamalee Limmathurotsakul, Direk Cooper, Ben S. Dunachie, Susanna Moore, Catrin E. Dolecek, Christiane van Doorn, H. Rogier Guerin, Philippe J. Day, Nicholas P. J. Ashley, Elizabeth A. |
author_sort | Turner, Paul |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1301-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6440102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64401022019-04-11 Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data Turner, Paul Fox-Lewis, Andrew Shrestha, Poojan Dance, David A. B. Wangrangsimakul, Tri Cusack, Tomas-Paul Ling, Clare L. Hopkins, Jill Roberts, Tamalee Limmathurotsakul, Direk Cooper, Ben S. Dunachie, Susanna Moore, Catrin E. Dolecek, Christiane van Doorn, H. Rogier Guerin, Philippe J. Day, Nicholas P. J. Ashley, Elizabeth A. BMC Med Guideline 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1301-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-29 /pmc/articles/PMC6440102/ /pubmed/30922309 http://dx.doi.org/10.1186/s12916-019-1301-1 Text en © 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. |
spellingShingle | Guideline Turner, Paul Fox-Lewis, Andrew Shrestha, Poojan Dance, David A. B. Wangrangsimakul, Tri Cusack, Tomas-Paul Ling, Clare L. Hopkins, Jill Roberts, Tamalee Limmathurotsakul, Direk Cooper, Ben S. Dunachie, Susanna Moore, Catrin E. Dolecek, Christiane van Doorn, H. Rogier Guerin, Philippe J. Day, Nicholas P. J. Ashley, Elizabeth A. Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data |
title | Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data |
title_full | Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data |
title_fullStr | Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data |
title_full_unstemmed | Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data |
title_short | Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data |
title_sort | microbiology investigation criteria for reporting objectively (micro): a framework for the reporting and interpretation of clinical microbiology data |
topic | Guideline |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440102/ https://www.ncbi.nlm.nih.gov/pubmed/30922309 http://dx.doi.org/10.1186/s12916-019-1301-1 |
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