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      Physical functional performance and prognosis in patients with heart failure: a systematic review and meta-analysis

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          Abstract

          Background

          Patients with Heart Failure (HF) show impaired functional capacities which have been related to their prognosis. Moreover, physical functional performance in functional tests has also been related to the prognosis in patients with HF. Thus, it would be useful to investigate how physical functional performance in functional tests could determine the prognosis in patients with HF, because HF is the leading cause of hospital admissions for people older than 65 years old. This systematic review and meta-analysis aims to summarise and synthesise the evidence published about the relationship between physical functional performance and prognosis in patients with HF, as well as assess the risk of bias of included studies and the level of evidence per outcome.

          Methods

          Major electronic databases, such as PubMed, AMED, CINAHL, EMBASE, PEDro, Web of Science, were searched from inception to March 2020 for observational longitudinal cohort studies (prospective or retrospective) examining the relationship between physical functional performance and prognosis in patients with HF.

          Results

          44 observational longitudinal cohort studies with a total of 22,598 patients with HF were included. 26 included studies reported a low risk of bias, and 17 included studies showed a moderate risk of bias. Patients with poor physical functional performance in the Six Minute Walking Test (6MWT), in the Short Physical Performance Battery (SPPB) and in the Gait Speed Test showed worse prognosis in terms of larger risk of hospitalisation or mortality than patients with good physical functional performance. However, there was a lack of homogeneity regarding which cut-off points should be used to stratify patients with poor physical functional performance from patients with good physical functional performance.

          Conclusion

          The review includes a large number of studies which show a strong relationship between physical functional performance and prognosis in patients with HF. Most of the included studies reported a low risk of bias, and GRADE criteria showed a low and a moderate level of evidence per outcome.

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          Most cited references92

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          Measuring inconsistency in meta-analyses.

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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                Author and article information

                Contributors
                acuesta@uma.es
                Journal
                BMC Cardiovasc Disord
                BMC Cardiovasc Disord
                BMC Cardiovascular Disorders
                BioMed Central (London )
                1471-2261
                9 December 2020
                9 December 2020
                2020
                : 20
                : 512
                Affiliations
                [1 ]GRID grid.10215.37, ISNI 0000 0001 2298 7828, Department of Physiotherapy, Faculty of Health Science, University of Malaga, The Institute of Biomedical Research in Malaga (IBIMA), Clinimetric Group FE-14, ; Malaga, Spain
                [2 ]GRID grid.37640.36, ISNI 0000 0000 9439 0839, Physiotherapy Department, , South London and Maudsley NHS Foundation Trust, ; Denmark Hill, London, UK
                [3 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, , King’s College London, ; London, UK
                [4 ]GRID grid.5115.0, ISNI 0000 0001 2299 5510, Positive Ageing Research Intitute (PARI), Faculty of Health Social Care and Education, , Anglia Ruskin University, ; Chelmsford, UK
                [5 ]GRID grid.452525.1, Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), , Regional University Hospital of Málaga, ; Málaga, Spain
                [6 ]GRID grid.10215.37, ISNI 0000 0001 2298 7828, Unidad de Neurofisiología Cognitiva, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), , Universidad de Málaga (UMA), Campus de Excelencia Internacional (CEI) Andalucía Tech, ; Málaga, Spain
                [7 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, ; Madrid, Spain
                [8 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, CIBER Fisio-patología de la Obesidad y la Nutrición, , Instituto de Salud Carlos III, ; Madrid, Spain
                [9 ]GRID grid.1024.7, ISNI 0000000089150953, School of Clinical Sciences, , Faculty of Health at the Queensland University of Technology, ; Brisbane, Queensland Australia
                Author information
                http://orcid.org/0000-0002-8880-4315
                Article
                1725
                10.1186/s12872-020-01725-5
                7724724
                33297975
                9353e1b9-0d75-460b-bf29-379a39b3ca14
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/. 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 in a credit line to the data.

                History
                : 23 July 2020
                : 4 October 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Cardiovascular Medicine
                functional tests,heart failure,hospitalisation,mortality,physical functional performance,prognosis

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