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Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research

BACKGROUND: Juvenile dermatomyositis (JDM) is a rare but severe autoimmune inflammatory myositis of childhood. International collaboration is essential in order to undertake clinical trials, understand the disease and improve long-term outcome. The aim of this study was to propose from existing coll...

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Autores principales: McCann, Liza J, Arnold, Katie, Pilkington, Clarissa A, Huber, Adam M, Ravelli, Angelo, Beard, Laura, Beresford, Michael W, Wedderburn, Lucy R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113599/
https://www.ncbi.nlm.nih.gov/pubmed/25075205
http://dx.doi.org/10.1186/1546-0096-12-31
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author McCann, Liza J
Arnold, Katie
Pilkington, Clarissa A
Huber, Adam M
Ravelli, Angelo
Beard, Laura
Beresford, Michael W
Wedderburn, Lucy R
author_facet McCann, Liza J
Arnold, Katie
Pilkington, Clarissa A
Huber, Adam M
Ravelli, Angelo
Beard, Laura
Beresford, Michael W
Wedderburn, Lucy R
author_sort McCann, Liza J
collection PubMed
description BACKGROUND: Juvenile dermatomyositis (JDM) is a rare but severe autoimmune inflammatory myositis of childhood. International collaboration is essential in order to undertake clinical trials, understand the disease and improve long-term outcome. The aim of this study was to propose from existing collaborative initiatives a preliminary minimal dataset for JDM. This will form the basis of the future development of an international consensus-approved minimum core dataset to be used both in clinical care and inform research, allowing integration of data between centres. METHODS: A working group of internationally-representative JDM experts was formed to develop a provisional minimal dataset. Clinical and laboratory variables contained within current national and international collaborative databases of patients with idiopathic inflammatory myopathies were scrutinised. Judgements were informed by published literature and a more detailed analysis of the Juvenile Dermatomyositis Cohort Biomarker Study and Repository, UK and Ireland. RESULTS: A provisional minimal JDM dataset has been produced, with an associated glossary of definitions. The provisional minimal dataset will request information at time of patient diagnosis and during on-going prospective follow up. At time of patient diagnosis, information will be requested on patient demographics, diagnostic criteria and treatments given prior to diagnosis. During on-going prospective follow-up, variables will include the presence of active muscle or skin disease, major organ involvement or constitutional symptoms, investigations, treatment, physician global assessments and patient reported outcome measures. CONCLUSIONS: An internationally agreed minimal dataset has the potential to significantly enhance collaboration, allow effective communication between groups, provide a minimal standard of care and enable analysis of the largest possible number of JDM patients to provide a greater understanding of this disease. This preliminary dataset can now be developed into a consensus-approved minimum core dataset and tested in a wider setting with the aim of achieving international agreement.
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spelling pubmed-41135992014-07-30 Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research McCann, Liza J Arnold, Katie Pilkington, Clarissa A Huber, Adam M Ravelli, Angelo Beard, Laura Beresford, Michael W Wedderburn, Lucy R Pediatr Rheumatol Online J Research BACKGROUND: Juvenile dermatomyositis (JDM) is a rare but severe autoimmune inflammatory myositis of childhood. International collaboration is essential in order to undertake clinical trials, understand the disease and improve long-term outcome. The aim of this study was to propose from existing collaborative initiatives a preliminary minimal dataset for JDM. This will form the basis of the future development of an international consensus-approved minimum core dataset to be used both in clinical care and inform research, allowing integration of data between centres. METHODS: A working group of internationally-representative JDM experts was formed to develop a provisional minimal dataset. Clinical and laboratory variables contained within current national and international collaborative databases of patients with idiopathic inflammatory myopathies were scrutinised. Judgements were informed by published literature and a more detailed analysis of the Juvenile Dermatomyositis Cohort Biomarker Study and Repository, UK and Ireland. RESULTS: A provisional minimal JDM dataset has been produced, with an associated glossary of definitions. The provisional minimal dataset will request information at time of patient diagnosis and during on-going prospective follow up. At time of patient diagnosis, information will be requested on patient demographics, diagnostic criteria and treatments given prior to diagnosis. During on-going prospective follow-up, variables will include the presence of active muscle or skin disease, major organ involvement or constitutional symptoms, investigations, treatment, physician global assessments and patient reported outcome measures. CONCLUSIONS: An internationally agreed minimal dataset has the potential to significantly enhance collaboration, allow effective communication between groups, provide a minimal standard of care and enable analysis of the largest possible number of JDM patients to provide a greater understanding of this disease. This preliminary dataset can now be developed into a consensus-approved minimum core dataset and tested in a wider setting with the aim of achieving international agreement. BioMed Central 2014-07-21 /pmc/articles/PMC4113599/ /pubmed/25075205 http://dx.doi.org/10.1186/1546-0096-12-31 Text en Copyright © 2014 McCann et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Research
McCann, Liza J
Arnold, Katie
Pilkington, Clarissa A
Huber, Adam M
Ravelli, Angelo
Beard, Laura
Beresford, Michael W
Wedderburn, Lucy R
Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research
title Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research
title_full Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research
title_fullStr Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research
title_full_unstemmed Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research
title_short Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: for use in clinical practice to inform research
title_sort developing a provisional, international minimal dataset for juvenile dermatomyositis: for use in clinical practice to inform research
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113599/
https://www.ncbi.nlm.nih.gov/pubmed/25075205
http://dx.doi.org/10.1186/1546-0096-12-31
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