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      Clinical Outcomes of Arthroscopic Tenodesis Versus Tenotomy for Long Head of the Biceps Tendon Lesions: A Systematic Review and Meta-analysis of Randomized Clinical Trials and Cohort Studies

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          Abstract

          Background:

          Controversy exists concerning whether tenotomy or tenodesis is the optimal surgical treatment option for proximal biceps tendon lesions.

          Purpose:

          To evaluate the clinical outcomes after arthroscopic tenodesis and tenotomy in the treatment of long head of the biceps tendon (LHBT) lesions.

          Study Design:

          Systematic review; Level of evidence, 4.

          Methods:

          A systematic review was performed by searching PubMed, the Cochrane Library, Web of Science, and Embase to identify randomized controlled trials (RCTs) and cohort studies that compared the clinical efficacy of tenotomy with that of tenodesis for LHBT lesions. A standardized data extraction form was predesigned to obtain bibliographic information of the study as well as patient, intervention, comparison, and outcome data. A random-effects model was used to pool quantitative data from the primary outcomes.

          Results:

          A total of 21 eligible studies were separated into 3 methodological groups: (1) 4 RCTs with level 1 evidence, (2) 3 RCTs and 4 prospective cohort studies with level 2 evidence, and (3) 10 retrospective cohort studies with level 3 to 4 evidence. Analysis of the 3 groups demonstrated a significantly higher risk of the Popeye sign after tenotomy versus tenodesis (group 1: risk ratio [RR], 3.29 [95% CI, 1.92-5.49]; group 2: RR, 2.35 [95% CI, 1.43-3.85]; and group 3: RR, 2.57 [95% CI, 1.33-4.98]). Arm cramping pain remained significantly higher after tenotomy only in the retrospective cohort group (RR, 2.17 [95% CI, 1.20-3.95]). The Constant score for tenotomy was significantly worse than that for tenodesis in the prospective cohort group (standardized mean difference [SMD], –0.47 [95% CI, –0.73 to –0.21]), as were the forearm supination strength index (SMD, –0.75 [95% CI, –1.28 to –0.21]) and the Simple Shoulder Test (SST) score (SMD, –0.60 [95% CI, –0.94 to –0.27]).

          Conclusion:

          The results demonstrated that compared with tenodesis, tenotomy had a higher risk of a Popeye deformity in all 3 study groups; worse functional outcomes in terms of the Constant score, forearm supination strength index, and SST score according to prospective cohort studies; and a higher incidence of arm cramping pain according to retrospective cohort studies.

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          Most cited references43

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          The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

          Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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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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              Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

              Because of the pressure for timely, informed decisions in public health and clinical practice and the explosion of information in the scientific literature, research results must be synthesized. Meta-analyses are increasingly used to address this problem, and they often evaluate observational studies. A workshop was held in Atlanta, Ga, in April 1997, to examine the reporting of meta-analyses of observational studies and to make recommendations to aid authors, reviewers, editors, and readers. Twenty-seven participants were selected by a steering committee, based on expertise in clinical practice, trials, statistics, epidemiology, social sciences, and biomedical editing. Deliberations of the workshop were open to other interested scientists. Funding for this activity was provided by the Centers for Disease Control and Prevention. We conducted a systematic review of the published literature on the conduct and reporting of meta-analyses in observational studies using MEDLINE, Educational Research Information Center (ERIC), PsycLIT, and the Current Index to Statistics. We also examined reference lists of the 32 studies retrieved and contacted experts in the field. Participants were assigned to small-group discussions on the subjects of bias, searching and abstracting, heterogeneity, study categorization, and statistical methods. From the material presented at the workshop, the authors developed a checklist summarizing recommendations for reporting meta-analyses of observational studies. The checklist and supporting evidence were circulated to all conference attendees and additional experts. All suggestions for revisions were addressed. The proposed checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion. Use of the checklist should improve the usefulness of meta-analyses for authors, reviewers, editors, readers, and decision makers. An evaluation plan is suggested and research areas are explored.
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                Author and article information

                Journal
                Orthop J Sports Med
                Orthop J Sports Med
                OJS
                spojs
                Orthopaedic Journal of Sports Medicine
                SAGE Publications (Sage CA: Los Angeles, CA )
                2325-9671
                23 April 2021
                April 2021
                : 9
                : 4
                : 2325967121993805
                Affiliations
                [* ]Beijing University of Chinese Medicine, Beijing, China.
                []Shandong University, Jinan, China.
                []Henan Luoyang Orthopedic-Traumatological Hospital, Zhengzhou, China.
                [§ ]Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China.
                []Department of Orthopaedic Surgery, Ringgold 36635, China-Japan Friendship Hospital; , Beijing, China.
                []Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Ringgold 36635, China-Japan Friendship Hospital; , Beijing, China.
                [7-2325967121993805] Investigation performed at Beijing University of Chinese Medicine, Beijing, China
                Author notes
                [*] [# ]Qidong Zhang, MD, and Wanshou Guo, MD, China-Japan Friendship Hospital, No. 2, Yinghuadong Road, Chaoyang District, Beijing, 100029, China (emails: docguowanshou@ 123456163.com and zhangqidong1982@ 123456sina.com ).
                Article
                10.1177_2325967121993805
                10.1177/2325967121993805
                8071980
                33997057
                4d722777-2946-48b0-ab16-d423853066ad
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License ( https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 16 September 2020
                : 11 November 2020
                Categories
                Article
                Custom metadata
                ts3

                biceps,tenotomy,tenodesis,arthroscopic,meta-analysis
                biceps, tenotomy, tenodesis, arthroscopic, meta-analysis

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