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      Improving function in people with hip-related pain: a systematic review and meta-analysis of physiotherapist-led interventions for hip-related pain

      systematic-review

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          Abstract

          Objective

          To report the effectiveness of physiotherapist-led interventions in improving pain and function in young and middle-aged adults with hip-related pain.

          Design

          Systematic review and meta-analysis.

          Data sources

          A comprehensive, reproducible search strategy was performed on five databases in May 2019. Reference lists and grey literature were also searched.

          Eligibility criteria for selecting studies

          Population: people aged ≥18 years with hip-related pain (with or without a diagnosis of femoroacetabular impingement syndrome). Intervention(s): physiotherapist-led interventions for hip pain. Comparators: sham treatment, no treatment or other treatment (eg, hip arthroscopic surgery). Outcomes: primary outcomes included patient-reported hip pain and function. Secondary outcomes included physical function measures.

          Results

          1722 papers were identified. After exclusion criteria were applied, 14 studies were included for analysis. They had varied risk of bias. There were no full-scale placebo-controlled randomised controlled trials (RCTs) of physiotherapist-led treatment. Pooled effects ranged from moderate effects (0.67 (95% CI 0.07 to 1.26)) favouring physiotherapist-led intervention over no treatment post-arthroscopy, to weak effects (−0.32 (95% CI 0.57 to 0.07)) favouring hip arthroscopy over physiotherapist-led treatment.

          Conclusion

          Physiotherapist-led interventions might improve pain and function in young and middle-aged adults with hip-related pain, however full-scale high-quality RCT studies are required.

          PROSPERO registration number

          CRD42018089088.

          Related collections

          Most cited references56

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          Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

          Background In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one may have to estimate the sample mean and standard deviation for such trials. Methods In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al.’s method (BMC Med Res Methodol 5:13, 2005) has some serious limitations and is always less satisfactory in practice. Inspired by this, we propose a new estimation method by incorporating the sample size. Second, we systematically study the sample mean and standard deviation estimation problem under several other interesting settings where the interquartile range is also available for the trials. Results We demonstrate the performance of the proposed methods through simulation studies for the three frequently encountered scenarios, respectively. For the first two scenarios, our method greatly improves existing methods and provides a nearly unbiased estimate of the true sample standard deviation for normal data and a slightly biased estimate for skewed data. For the third scenario, our method still performs very well for both normal data and skewed data. Furthermore, we compare the estimators of the sample mean and standard deviation under all three scenarios and present some suggestions on which scenario is preferred in real-world applications. Conclusions In this paper, we discuss different approximation methods in the estimation of the sample mean and standard deviation and propose some new estimation methods to improve the existing literature. We conclude our work with a summary table (an Excel spread sheet including all formulas) that serves as a comprehensive guidance for performing meta-analysis in different situations. Electronic supplementary material The online version of this article (doi:10.1186/1471-2288-14-135) contains supplementary material, which is available to authorized users.
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            Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide

            Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers cannot replicate or build on research findings. The quality of description of interventions in publications, however, is remarkably poor. To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The process involved a literature review for relevant checklists and research, a Delphi survey of an international panel of experts to guide item selection, and a face to face panel meeting. The resultant 12 item TIDieR checklist (brief name, why, what (materials), what (procedure), who provided, how, where, when and how much, tailoring, modifications, how well (planned), how well (actual)) is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). While the emphasis of the checklist is on trials, the guidance is intended to apply across all evaluative study designs. This paper presents the TIDieR checklist and guide, with an explanation and elaboration for each item, and examples of good reporting. The TIDieR checklist and guide should improve the reporting of interventions and make it easier for authors to structure accounts of their interventions, reviewers and editors to assess the descriptions, and readers to use the information.
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              The measurement of observer agreement for categorical data.

              This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the construction of test statistics for hypotheses involving these functions. Tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interobserver agreement are developed as generalized kappa-type statistics. These procedures are illustrated with a clinical diagnosis example from the epidemiological literature.
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                Author and article information

                Journal
                Br J Sports Med
                Br J Sports Med
                bjsports
                bjsm
                British Journal of Sports Medicine
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0306-3674
                1473-0480
                December 2020
                6 May 2020
                : 54
                : 23
                : 1382-1394
                Affiliations
                [1 ] departmentLatrobe Sports Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport , La Trobe University , Bundoora, Victoria, Australia
                [2 ] departmentFaculty of Health Sciences , Western University , London, Ontario, Canada
                [3 ] Schulthess Clinic Human Performance Lab , Zurich, Switzerland
                [4 ] departmentLa Trobe University Library , La Trobe University , Melbourne, Victoria, Australia
                [5 ] departmentDepartment of Physiotherapy, Podiatry and Prosthetics and Orthotics , La Trobe University , Melbourne, Victoria, Australia
                Author notes
                [Correspondence to ] Dr Joanne L Kemp, Latrobe Sports Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, VIC 3086, Australia; j.kemp@ 123456latrobe.edu.au
                Author information
                http://orcid.org/0000-0002-9234-1923
                http://orcid.org/0000-0001-7353-2583
                http://orcid.org/0000-0002-5802-510X
                http://orcid.org/0000-0002-3193-7969
                http://orcid.org/0000-0001-9216-1597
                http://orcid.org/0000-0001-5399-7463
                http://orcid.org/0000-0001-5892-129X
                Article
                bjsports-2019-101690
                10.1136/bjsports-2019-101690
                7677471
                32376673
                f44170cb-cb6c-41a6-a798-e47820b3511a
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 19 April 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1119971
                Categories
                Review
                1507
                1506
                1767
                2314
                Custom metadata
                unlocked
                true
                editors-choice
                free

                Sports medicine
                rehabilitation,physiotherapy,hip,exercise,arthroscopy
                Sports medicine
                rehabilitation, physiotherapy, hip, exercise, arthroscopy

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