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Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis

BACKGROUND: Low back pain (LBP) is one of the most prevalent and recurrent conditions in the general population, with personal, professional, social and economic impact. However, there is a lack of consistent evidence about chronic low back pain (CLBP) prognosis, especially highlighting predictors t...

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Autores principales: Mendonça, Liliane, Monteiro-Soares, Matilde, Azevedo, Luís Filipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169105/
https://www.ncbi.nlm.nih.gov/pubmed/30285903
http://dx.doi.org/10.1186/s13643-018-0818-2
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author Mendonça, Liliane
Monteiro-Soares, Matilde
Azevedo, Luís Filipe
author_facet Mendonça, Liliane
Monteiro-Soares, Matilde
Azevedo, Luís Filipe
author_sort Mendonça, Liliane
collection PubMed
description BACKGROUND: Low back pain (LBP) is one of the most prevalent and recurrent conditions in the general population, with personal, professional, social and economic impact. However, there is a lack of consistent evidence about chronic low back pain (CLBP) prognosis, especially highlighting predictors that influence CLBP outcome. Existing systematic reviews are scarce, outdated and incomplete. The primary aim of this systematic review is to identify multivariable models and/or predictors associated with clinical outcomes in subjects with CLBP (namely pain intensity, disability, return to work, psychological well-being and quality of life). METHODS: We will systematically search Ovid MEDLINE (PubMed), Scopus and Web of Science databases for longitudinal studies, published until June 2017, including adults with CLBP (defined as persistent pain with ≥ 3 months duration), which studied the association between multivariable models and/or predictors with at least one of the selected clinical outcomes after ≥ 3 months of follow-up. Articles’ screening and selection will be conducted by two reviewers, blindly and independently. Disagreements will be resolved by a third reviewer. Models’ discriminative ability will be assessed using C-statistic. The link between multivariable models and predictors with the clinical outcome will be analysed through association measures. Qualitative and quantitative synthesis of the available evidence will be performed. Meta-analysis will be conducted to aggregate each type of measure. In the absence or in the presence of only slight to moderate of heterogeneity, we will use the fixed or random effects model, respectively. In case of moderate to severe heterogeneity, an attempt to explain variability in detail will be made through subgroups and sensitivity analyses. Subgroup analysis will be conducted according to clinical outcome, follow-up duration (≤ 6 months versus > 6 months) and type of context (pain management clinics versus other therapeutic settings). DISCUSSION: We consider that it is urgent to highlight the available evidence about CLBP prognosis. This systematic review will help identify multivariable models and individual predictors that may enhance pain management success. One potential limitation will be the difficulty of aggregating quantitative measures from several prognostic models and predictors, with different clinical outcomes. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017079233 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-018-0818-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-61691052018-10-10 Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis Mendonça, Liliane Monteiro-Soares, Matilde Azevedo, Luís Filipe Syst Rev Protocol BACKGROUND: Low back pain (LBP) is one of the most prevalent and recurrent conditions in the general population, with personal, professional, social and economic impact. However, there is a lack of consistent evidence about chronic low back pain (CLBP) prognosis, especially highlighting predictors that influence CLBP outcome. Existing systematic reviews are scarce, outdated and incomplete. The primary aim of this systematic review is to identify multivariable models and/or predictors associated with clinical outcomes in subjects with CLBP (namely pain intensity, disability, return to work, psychological well-being and quality of life). METHODS: We will systematically search Ovid MEDLINE (PubMed), Scopus and Web of Science databases for longitudinal studies, published until June 2017, including adults with CLBP (defined as persistent pain with ≥ 3 months duration), which studied the association between multivariable models and/or predictors with at least one of the selected clinical outcomes after ≥ 3 months of follow-up. Articles’ screening and selection will be conducted by two reviewers, blindly and independently. Disagreements will be resolved by a third reviewer. Models’ discriminative ability will be assessed using C-statistic. The link between multivariable models and predictors with the clinical outcome will be analysed through association measures. Qualitative and quantitative synthesis of the available evidence will be performed. Meta-analysis will be conducted to aggregate each type of measure. In the absence or in the presence of only slight to moderate of heterogeneity, we will use the fixed or random effects model, respectively. In case of moderate to severe heterogeneity, an attempt to explain variability in detail will be made through subgroups and sensitivity analyses. Subgroup analysis will be conducted according to clinical outcome, follow-up duration (≤ 6 months versus > 6 months) and type of context (pain management clinics versus other therapeutic settings). DISCUSSION: We consider that it is urgent to highlight the available evidence about CLBP prognosis. This systematic review will help identify multivariable models and individual predictors that may enhance pain management success. One potential limitation will be the difficulty of aggregating quantitative measures from several prognostic models and predictors, with different clinical outcomes. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017079233 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-018-0818-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-02 /pmc/articles/PMC6169105/ /pubmed/30285903 http://dx.doi.org/10.1186/s13643-018-0818-2 Text en © The Author(s). 2018 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
Mendonça, Liliane
Monteiro-Soares, Matilde
Azevedo, Luís Filipe
Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
title Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
title_full Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
title_fullStr Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
title_full_unstemmed Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
title_short Prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
title_sort prediction of clinical outcomes in individuals with chronic low back pain: a protocol for a systematic review with meta-analysis
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169105/
https://www.ncbi.nlm.nih.gov/pubmed/30285903
http://dx.doi.org/10.1186/s13643-018-0818-2
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