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Treatment for acute flares of gout: A protocol for systematic review
INTRODUCTION: The current evidence confirms the effectiveness and safety of several drug interventions in the treatment of acute flares of gout, however, the most preferred drugs are still unclear. We, therefore, seek to conduct a network meta-analysis that can systematically compare non-steroidal a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440275/ https://www.ncbi.nlm.nih.gov/pubmed/32243400 http://dx.doi.org/10.1097/MD.0000000000019668 |
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author | Tang, Hongzhi Xu, Guixing Zheng, Qianhua Cheng, Ying Zheng, Hui Li, Juan Yin, Zihan Liang, Fanrong Chen, Jiao |
author_facet | Tang, Hongzhi Xu, Guixing Zheng, Qianhua Cheng, Ying Zheng, Hui Li, Juan Yin, Zihan Liang, Fanrong Chen, Jiao |
author_sort | Tang, Hongzhi |
collection | PubMed |
description | INTRODUCTION: The current evidence confirms the effectiveness and safety of several drug interventions in the treatment of acute flares of gout, however, the most preferred drugs are still unclear. We, therefore, seek to conduct a network meta-analysis that can systematically compare non-steroidal anti-inflammatory drugs (NSAIDs), COXIBs, colchicine, hormones, or IL-1 receptor antagonists, etc. for acute gout based on the latest evidence. METHODS AND ANALYSIS: Nine online databases are searched with inception to September 1, 2019; there will be no language restrictions on the included trials. Randomized controlled trials that include patients with acute flares of gout receiving drug therapy versus a control group will be included. The selection of studies, risk of bias assessment and data extraction will be conducted by 2 independent researchers. Bayesian network meta-analysis is applied using the Markov chain Monte Carlo method with Stata or R. The dichotomous data will be presented as risk ratios with 95% CIs and the continuous data will be presented as weighted mean differences or standardized mean differences with 95% CIs. Evidence quality will be evaluated using the GRADE system. ETHICS AND DISSEMINATION: This network meta-analysis will not involve private information from personal or imperil their rights, so, ethical approval is not required. The results of this network meta-analysis may be published in a journal or publicized in concerned conferences. |
format | Online Article Text |
id | pubmed-7440275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-74402752020-09-04 Treatment for acute flares of gout: A protocol for systematic review Tang, Hongzhi Xu, Guixing Zheng, Qianhua Cheng, Ying Zheng, Hui Li, Juan Yin, Zihan Liang, Fanrong Chen, Jiao Medicine (Baltimore) 6900 INTRODUCTION: The current evidence confirms the effectiveness and safety of several drug interventions in the treatment of acute flares of gout, however, the most preferred drugs are still unclear. We, therefore, seek to conduct a network meta-analysis that can systematically compare non-steroidal anti-inflammatory drugs (NSAIDs), COXIBs, colchicine, hormones, or IL-1 receptor antagonists, etc. for acute gout based on the latest evidence. METHODS AND ANALYSIS: Nine online databases are searched with inception to September 1, 2019; there will be no language restrictions on the included trials. Randomized controlled trials that include patients with acute flares of gout receiving drug therapy versus a control group will be included. The selection of studies, risk of bias assessment and data extraction will be conducted by 2 independent researchers. Bayesian network meta-analysis is applied using the Markov chain Monte Carlo method with Stata or R. The dichotomous data will be presented as risk ratios with 95% CIs and the continuous data will be presented as weighted mean differences or standardized mean differences with 95% CIs. Evidence quality will be evaluated using the GRADE system. ETHICS AND DISSEMINATION: This network meta-analysis will not involve private information from personal or imperil their rights, so, ethical approval is not required. The results of this network meta-analysis may be published in a journal or publicized in concerned conferences. Wolters Kluwer Health 2020-04-03 /pmc/articles/PMC7440275/ /pubmed/32243400 http://dx.doi.org/10.1097/MD.0000000000019668 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 6900 Tang, Hongzhi Xu, Guixing Zheng, Qianhua Cheng, Ying Zheng, Hui Li, Juan Yin, Zihan Liang, Fanrong Chen, Jiao Treatment for acute flares of gout: A protocol for systematic review |
title | Treatment for acute flares of gout: A protocol for systematic review |
title_full | Treatment for acute flares of gout: A protocol for systematic review |
title_fullStr | Treatment for acute flares of gout: A protocol for systematic review |
title_full_unstemmed | Treatment for acute flares of gout: A protocol for systematic review |
title_short | Treatment for acute flares of gout: A protocol for systematic review |
title_sort | treatment for acute flares of gout: a protocol for systematic review |
topic | 6900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440275/ https://www.ncbi.nlm.nih.gov/pubmed/32243400 http://dx.doi.org/10.1097/MD.0000000000019668 |
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