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

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Mendonca, L (Author) Other; Monteiro Soares, M (Author) Other; Azevedo L (Author) FMUP

Journal

Title: Systematic Reviews

Vol. 30

ISSN: 2046-4053

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00P-XJH

DOI: 10.1186/s13643-018-0818-2

Abstract (EN): 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 Existing systematic reviews are scarce, outdated and incomplete.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

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6