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Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis
BACKGROUND: Agreement on how to identify psoriasis (PsO) patients at risk of developing psoriatic arthritis (PsA) is lacking. OBJECTIVE: To identify predictors, risk factors and incidence rate (IR) of PsA development in PsO patients through a systematic literature review (SLR) and meta-analyses (MA)...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572278/ https://www.ncbi.nlm.nih.gov/pubmed/34596875 http://dx.doi.org/10.1007/s40744-021-00378-w |
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author | Zabotti, Alen De Lucia, Orazio Sakellariou, Garifallia Batticciotto, Alberto Cincinelli, Gilberto Giovannini, Ivan Idolazzi, Luca Maioli, Gabriella Tinazzi, Ilaria Aletaha, Daniel De Vita, Salvatore Marchesoni, Antonio Smolen, Josef Iagnocco, Annamaria McGonagle, Dennis Caporali, Roberto |
author_facet | Zabotti, Alen De Lucia, Orazio Sakellariou, Garifallia Batticciotto, Alberto Cincinelli, Gilberto Giovannini, Ivan Idolazzi, Luca Maioli, Gabriella Tinazzi, Ilaria Aletaha, Daniel De Vita, Salvatore Marchesoni, Antonio Smolen, Josef Iagnocco, Annamaria McGonagle, Dennis Caporali, Roberto |
author_sort | Zabotti, Alen |
collection | PubMed |
description | BACKGROUND: Agreement on how to identify psoriasis (PsO) patients at risk of developing psoriatic arthritis (PsA) is lacking. OBJECTIVE: To identify predictors, risk factors and incidence rate (IR) of PsA development in PsO patients through a systematic literature review (SLR) and meta-analyses (MA). METHODS: MEDLINE, Embase, and Cochrane databases were searched. Cohort studies were used to assess the predictors, while case–control studies for PsA risk factor determination. RESULTS: We screened 4698 articles for eligibility, and 110 underwent a full reading and 26 were finally included. Among skin and nail phenotypes, PsO severity and nail pitting were selected as predictors of PsA development. Furthermore, PsO patients with arthralgia (pooled RR 2.15 [1.16; 3.99]) and/or with imaging-MSK inflammation (pooled RR 3.72 [2.12; 6.51]) were at high risk of PsA. Higher categories of BMI and a family history of PsA were other predictors. In outpatient-based cohort studies, the IR of PsA per 100 patient-years varied from 1.34 to 17.4. LIMITATIONS: Despite the strength of the overall results, the heterogeneity and the number of the cohort studies could be considered a limitation. CONCLUSIONS: This study provides a tentative profile of the PsO patient at risk of PsA and will help the design of PsA prevention trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40744-021-00378-w. |
format | Online Article Text |
id | pubmed-8572278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-85722782021-11-15 Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis Zabotti, Alen De Lucia, Orazio Sakellariou, Garifallia Batticciotto, Alberto Cincinelli, Gilberto Giovannini, Ivan Idolazzi, Luca Maioli, Gabriella Tinazzi, Ilaria Aletaha, Daniel De Vita, Salvatore Marchesoni, Antonio Smolen, Josef Iagnocco, Annamaria McGonagle, Dennis Caporali, Roberto Rheumatol Ther Review BACKGROUND: Agreement on how to identify psoriasis (PsO) patients at risk of developing psoriatic arthritis (PsA) is lacking. OBJECTIVE: To identify predictors, risk factors and incidence rate (IR) of PsA development in PsO patients through a systematic literature review (SLR) and meta-analyses (MA). METHODS: MEDLINE, Embase, and Cochrane databases were searched. Cohort studies were used to assess the predictors, while case–control studies for PsA risk factor determination. RESULTS: We screened 4698 articles for eligibility, and 110 underwent a full reading and 26 were finally included. Among skin and nail phenotypes, PsO severity and nail pitting were selected as predictors of PsA development. Furthermore, PsO patients with arthralgia (pooled RR 2.15 [1.16; 3.99]) and/or with imaging-MSK inflammation (pooled RR 3.72 [2.12; 6.51]) were at high risk of PsA. Higher categories of BMI and a family history of PsA were other predictors. In outpatient-based cohort studies, the IR of PsA per 100 patient-years varied from 1.34 to 17.4. LIMITATIONS: Despite the strength of the overall results, the heterogeneity and the number of the cohort studies could be considered a limitation. CONCLUSIONS: This study provides a tentative profile of the PsO patient at risk of PsA and will help the design of PsA prevention trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40744-021-00378-w. Springer Healthcare 2021-10-01 /pmc/articles/PMC8572278/ /pubmed/34596875 http://dx.doi.org/10.1007/s40744-021-00378-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Zabotti, Alen De Lucia, Orazio Sakellariou, Garifallia Batticciotto, Alberto Cincinelli, Gilberto Giovannini, Ivan Idolazzi, Luca Maioli, Gabriella Tinazzi, Ilaria Aletaha, Daniel De Vita, Salvatore Marchesoni, Antonio Smolen, Josef Iagnocco, Annamaria McGonagle, Dennis Caporali, Roberto Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis |
title | Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis |
title_full | Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis |
title_fullStr | Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis |
title_full_unstemmed | Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis |
title_short | Predictors, Risk Factors, and Incidence Rates of Psoriatic Arthritis Development in Psoriasis Patients: A Systematic Literature Review and Meta-Analysis |
title_sort | predictors, risk factors, and incidence rates of psoriatic arthritis development in psoriasis patients: a systematic literature review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572278/ https://www.ncbi.nlm.nih.gov/pubmed/34596875 http://dx.doi.org/10.1007/s40744-021-00378-w |
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