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Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation

BACKGROUND: It is believed increasingly that patients with severe Crohn’s disease are best treated early with biological therapy, which may ameliorate subsequent disease course and diminish long-term complications. However, we cannot predict currently which new presentations of Crohn’s disease are d...

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Autores principales: Halligan, Steve, Boone, Darren, Bhatnagar, Gauraang, Ahmad, Tariq, Bloom, Stuart, Rodriguez-Justo, Manuel, Taylor, Stuart A., Mallett, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131410/
https://www.ncbi.nlm.nih.gov/pubmed/27903285
http://dx.doi.org/10.1186/s13643-016-0383-5
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author Halligan, Steve
Boone, Darren
Bhatnagar, Gauraang
Ahmad, Tariq
Bloom, Stuart
Rodriguez-Justo, Manuel
Taylor, Stuart A.
Mallett, Susan
author_facet Halligan, Steve
Boone, Darren
Bhatnagar, Gauraang
Ahmad, Tariq
Bloom, Stuart
Rodriguez-Justo, Manuel
Taylor, Stuart A.
Mallett, Susan
author_sort Halligan, Steve
collection PubMed
description BACKGROUND: It is believed increasingly that patients with severe Crohn’s disease are best treated early with biological therapy, which may ameliorate subsequent disease course and diminish long-term complications. However, we cannot predict currently which new presentations of Crohn’s disease are destined to develop severe disease so treatment cannot be targeted to the most appropriate patients. Accordingly, via systematic review and meta-analysis we aim to identify if biomarkers of disease activity are able to predict development of severe disease. METHODS/DESIGN: We will search the primary literature and conference proceedings for studies of biomarkers of all types including clinical, endoscopic, radiological, faecal, urinary, serological, genetic, and histological. Precise definition of “severe” disease is elusive so we will include sensitivity analysis to account for different definitions. We will use the CHARMS checklist to frame our question and to extract data. We will extract the study design, setting, participant characteristics, biomarker(s) investigated, and study outcomes. Bias will be assessed via the PROBAST tool. We will present the results using narrative and graphical methods. We will present the summary by meta-analysis where there are sufficient studies with reasonable homogeneity, using methods appropriate to the type of data extracted. Heterogeneity will be presented via Forest and ROC plots. DISCUSSION: If this systematic review and meta-analysis identifies biomarkers that appear sufficiently predictive for subsequent severe disease course, we aim to combine them in a predictive model, followed by external validation using individual patient data. A predictive model able to identify new presentations of Crohn’s disease destined to develop severe disease subsequently would have considerable clinical utility for patient management. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016029363. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-016-0383-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-51314102016-12-12 Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation Halligan, Steve Boone, Darren Bhatnagar, Gauraang Ahmad, Tariq Bloom, Stuart Rodriguez-Justo, Manuel Taylor, Stuart A. Mallett, Susan Syst Rev Protocol BACKGROUND: It is believed increasingly that patients with severe Crohn’s disease are best treated early with biological therapy, which may ameliorate subsequent disease course and diminish long-term complications. However, we cannot predict currently which new presentations of Crohn’s disease are destined to develop severe disease so treatment cannot be targeted to the most appropriate patients. Accordingly, via systematic review and meta-analysis we aim to identify if biomarkers of disease activity are able to predict development of severe disease. METHODS/DESIGN: We will search the primary literature and conference proceedings for studies of biomarkers of all types including clinical, endoscopic, radiological, faecal, urinary, serological, genetic, and histological. Precise definition of “severe” disease is elusive so we will include sensitivity analysis to account for different definitions. We will use the CHARMS checklist to frame our question and to extract data. We will extract the study design, setting, participant characteristics, biomarker(s) investigated, and study outcomes. Bias will be assessed via the PROBAST tool. We will present the results using narrative and graphical methods. We will present the summary by meta-analysis where there are sufficient studies with reasonable homogeneity, using methods appropriate to the type of data extracted. Heterogeneity will be presented via Forest and ROC plots. DISCUSSION: If this systematic review and meta-analysis identifies biomarkers that appear sufficiently predictive for subsequent severe disease course, we aim to combine them in a predictive model, followed by external validation using individual patient data. A predictive model able to identify new presentations of Crohn’s disease destined to develop severe disease subsequently would have considerable clinical utility for patient management. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016029363. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-016-0383-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-01 /pmc/articles/PMC5131410/ /pubmed/27903285 http://dx.doi.org/10.1186/s13643-016-0383-5 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Protocol
Halligan, Steve
Boone, Darren
Bhatnagar, Gauraang
Ahmad, Tariq
Bloom, Stuart
Rodriguez-Justo, Manuel
Taylor, Stuart A.
Mallett, Susan
Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
title Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
title_full Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
title_fullStr Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
title_full_unstemmed Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
title_short Prognostic biomarkers to identify patients destined to develop severe Crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
title_sort prognostic biomarkers to identify patients destined to develop severe crohn’s disease who may benefit from early biological therapy: protocol for a systematic review, meta-analysis and external validation
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131410/
https://www.ncbi.nlm.nih.gov/pubmed/27903285
http://dx.doi.org/10.1186/s13643-016-0383-5
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