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Clusters in Behçet’s syndrome
Clustering is an important clinical feature of Behçet’s syndrome (BS) and may have pathogenetic and therapeutic implications. Recent and previous studies on BS phenotype differ substantially in terms of methodology. Correlation matrices and factor analyses were not efficient enough to uncover cluste...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617315/ https://www.ncbi.nlm.nih.gov/pubmed/36309718 http://dx.doi.org/10.1186/s13075-022-02937-0 |
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author | İlgen, Ufuk |
author_facet | İlgen, Ufuk |
author_sort | İlgen, Ufuk |
collection | PubMed |
description | Clustering is an important clinical feature of Behçet’s syndrome (BS) and may have pathogenetic and therapeutic implications. Recent and previous studies on BS phenotype differ substantially in terms of methodology. Correlation matrices and factor analyses were not efficient enough to uncover clusters. Clustering patterns may change according to demographic factors such as age and sex. Clustering patterns may also be profoundly influenced by the misperception of symptoms that are assumed to be secondary to BS, when, in fact, they represent manifestations of BD mimics. This can give rise to misleading conclusions and should be kept in mind when interpreting data obtained by clustering or other phenotype analyses of BS. A true geographical/racial variability in disease expression could be studied in a multinational consensus cohort. Pathogenetic studies in separate clusters of BS have still been lacking. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-022-02937-0. |
format | Online Article Text |
id | pubmed-9617315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96173152022-10-30 Clusters in Behçet’s syndrome İlgen, Ufuk Arthritis Res Ther Commentary Clustering is an important clinical feature of Behçet’s syndrome (BS) and may have pathogenetic and therapeutic implications. Recent and previous studies on BS phenotype differ substantially in terms of methodology. Correlation matrices and factor analyses were not efficient enough to uncover clusters. Clustering patterns may change according to demographic factors such as age and sex. Clustering patterns may also be profoundly influenced by the misperception of symptoms that are assumed to be secondary to BS, when, in fact, they represent manifestations of BD mimics. This can give rise to misleading conclusions and should be kept in mind when interpreting data obtained by clustering or other phenotype analyses of BS. A true geographical/racial variability in disease expression could be studied in a multinational consensus cohort. Pathogenetic studies in separate clusters of BS have still been lacking. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-022-02937-0. BioMed Central 2022-10-29 2022 /pmc/articles/PMC9617315/ /pubmed/36309718 http://dx.doi.org/10.1186/s13075-022-02937-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Commentary İlgen, Ufuk Clusters in Behçet’s syndrome |
title | Clusters in Behçet’s syndrome |
title_full | Clusters in Behçet’s syndrome |
title_fullStr | Clusters in Behçet’s syndrome |
title_full_unstemmed | Clusters in Behçet’s syndrome |
title_short | Clusters in Behçet’s syndrome |
title_sort | clusters in behçet’s syndrome |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617315/ https://www.ncbi.nlm.nih.gov/pubmed/36309718 http://dx.doi.org/10.1186/s13075-022-02937-0 |
work_keys_str_mv | AT ilgenufuk clustersinbehcetssyndrome |