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Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project
BACKGROUND: Among the various numbers of different autoinflammatory diseases (AIDs), the absolute majority of them remains rare, with a single representative in large populations. This project, endorsed by PRES, supported by the EMERGE fellowship program, and performed in line with the Metadata regi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353236/ https://www.ncbi.nlm.nih.gov/pubmed/37461074 http://dx.doi.org/10.1186/s13023-023-02812-4 |
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author | Vyzhga, Y. Hentgen, V. Caorsi, R. Wittkowski, H. Hofer, M. Ruperto, N. Lainka, E. Theodoropoulou, K. Foell, D. Mosci, E. Gattorno, M. |
author_facet | Vyzhga, Y. Hentgen, V. Caorsi, R. Wittkowski, H. Hofer, M. Ruperto, N. Lainka, E. Theodoropoulou, K. Foell, D. Mosci, E. Gattorno, M. |
author_sort | Vyzhga, Y. |
collection | PubMed |
description | BACKGROUND: Among the various numbers of different autoinflammatory diseases (AIDs), the absolute majority of them remains rare, with a single representative in large populations. This project, endorsed by PRES, supported by the EMERGE fellowship program, and performed in line with the Metadata registry for the ERN RITA (MeRITA), has the objective of performing a data synchronization attempt of the most relevant research questions regarding clinical features, diagnostic strategies, and optimal management of autoinflammatory diseases. RESULTS: An analysis of three large European registries: Eurofever, JIR-cohort and AID-Net, with a total coverage of 7825 patients from 278 participating centers from different countries, was performed in the context of epidemiological and clinical data merging. The data collected and evaluated in the registries does not cover only pediatric patients, but also adults with newly diagnosed AIDs. General aspects of the existing epidemiological data have been discussed in the context of patient global distribution, potential diagnostic delays, access to genetic testing, and the availability of the treatment. CONCLUSIONS: In general, the results indicate a great potential for upcoming collaborative work using existing data in cohorts that enhance the quality of medical care performed for patients with autoinflammatory diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-023-02812-4. |
format | Online Article Text |
id | pubmed-10353236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103532362023-07-19 Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project Vyzhga, Y. Hentgen, V. Caorsi, R. Wittkowski, H. Hofer, M. Ruperto, N. Lainka, E. Theodoropoulou, K. Foell, D. Mosci, E. Gattorno, M. Orphanet J Rare Dis Research BACKGROUND: Among the various numbers of different autoinflammatory diseases (AIDs), the absolute majority of them remains rare, with a single representative in large populations. This project, endorsed by PRES, supported by the EMERGE fellowship program, and performed in line with the Metadata registry for the ERN RITA (MeRITA), has the objective of performing a data synchronization attempt of the most relevant research questions regarding clinical features, diagnostic strategies, and optimal management of autoinflammatory diseases. RESULTS: An analysis of three large European registries: Eurofever, JIR-cohort and AID-Net, with a total coverage of 7825 patients from 278 participating centers from different countries, was performed in the context of epidemiological and clinical data merging. The data collected and evaluated in the registries does not cover only pediatric patients, but also adults with newly diagnosed AIDs. General aspects of the existing epidemiological data have been discussed in the context of patient global distribution, potential diagnostic delays, access to genetic testing, and the availability of the treatment. CONCLUSIONS: In general, the results indicate a great potential for upcoming collaborative work using existing data in cohorts that enhance the quality of medical care performed for patients with autoinflammatory diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-023-02812-4. BioMed Central 2023-07-17 /pmc/articles/PMC10353236/ /pubmed/37461074 http://dx.doi.org/10.1186/s13023-023-02812-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Vyzhga, Y. Hentgen, V. Caorsi, R. Wittkowski, H. Hofer, M. Ruperto, N. Lainka, E. Theodoropoulou, K. Foell, D. Mosci, E. Gattorno, M. Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project |
title | Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project |
title_full | Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project |
title_fullStr | Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project |
title_full_unstemmed | Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project |
title_short | Breaking down the fences among registries on autoinflammatory diseases: the E-Merge project |
title_sort | breaking down the fences among registries on autoinflammatory diseases: the e-merge project |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353236/ https://www.ncbi.nlm.nih.gov/pubmed/37461074 http://dx.doi.org/10.1186/s13023-023-02812-4 |
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