Specific return to sport criteria for children and adolescents after anterior cruciate ligament injury and reconstruction are unknown. The aim of this scoping review is to provide an overview of current tests regarding return to sport for children and adolescents. This scoping review was performed according to the PRISMA statement. A systematic search was performed on PubMed and EMBASE. The inclusion criteria were diagnostic and prognostic studies evaluating tests regarding return to sport after ACL injury and reconstruction in children/adolescents (age < 18 years). Twenty-six studies were included, of which 22 studies evaluated tests in the age category of 16 to 18 years. All studies evaluated tests after ACL reconstruction, no studies have been conducted in non-operative patients. Strength tests, movement quality and patient reported outcomes measures (PROMs) are investigated most frequently. Clearance for return to sport should be based on a test battery including strength tests, movement quality during sport-specific tasks and (paediatric) patient reported outcome measures. There are no recommendations on which specific tests regarding quantity and quality of movement should be used. Future research should aim at at developing and validating a test battery including movement quality and neuromotor control in a sport-specific context for both younger children and adolescents after both operative and non-operative treatment.
Background Different types of grafts can be used for anterior cruciate ligament reconstruction (ACLR). There is little published data regarding skeletally immature patients. The purpose of this systematic review was to assess the clinical outcomes and complications for different autograft types used in all-epiphyseal, transphyseal and partial epiphyseal/hybrid ACLR in skeletally immature children and adolescents. Methods PubMed, Embase and Cochrane databases were systematically searched for literature regarding ACLR using hamstrings, quadriceps or bone-patellar-tendon-bone (BPTB) autografts in skeletally immature patients. Studies were included if they examined at least one of the following outcomes: graft failure, return to sport(s), growth disturbance, arthrofibrosis or patient reported outcomes and had a minimum follow-up of 1 year. Case reports, conference abstracts and studies examining allografts and extra-articular or over-the-top ACL reconstruction techniques were excluded. Graft failure rates were pooled for each graft type using the quality effects model of MetaXL. A qualitative synthesis of secondary outcomes was performed. Results The database search identified 242 studies. In total 31 studies were included in this review, comprising of 1358 patients. Most patients (81%) were treated using hamstring autograft. The most common used surgical technique was transphyseal. The weighted, pooled failure rate for each graft type was 12% for hamstring tendon autografts, 8% for quadriceps tendon autografts and 6% for BPTB autografts. Confidence intervals were overlapping. The variability in time to graft failure was high. The qualitative analysis of the secondary outcomes showed similar results with good clinical outcomes and low complication rates across all graft types. Conclusions Based on this review it is not possible to determine a superior graft type for ACLR in skeletally immature. Of the included studies, the most common graft type used was the hamstring tendon. Overall, graft failure rates are low, and most studies show good clinical outcomes with high return to sports rates.
BACKGROUND Digital health and other forms of telemedicine can add value in optimizing healthcare for patients and healthcare providers. Aim of this study was to investigate the currently available digital health and telemedicine applications to establish a primary knee diagnosis in orthopedic surgery without face-to-face contact between patient and physician. OBJECTIVE Provide an overview of the available applications to establish a primary diagnosis for knee disorders. METHODS A systematic scoping review was conducted in the PUBMED and EMBASE database according to the PRISMA Extension for Scoping Reviews (PRISMA-ScR) statement. The inclusion criteria were studies reporting methods to establish a primary knee diagnosis using digital health or telemedicine. RESULTS A total of 7 articles was included after full text screening. Two categories to determine a primary diagnosis were identified: screening studies (n=4) and decision support studies (n=3). There was a large heterogeneity in the included studies in used algorithms, disorders, input parameters and outcome measurements. The included studies show a relatively high sensitivity in diagnosing a limited set of 25 knee disorders. However, the included applications were in general not accurate enough to make a specific diagnosis. CONCLUSIONS This scoping review shows that it is currently not possible to establish a reliable remote diagnosis for knee disorders in orthopedic practice. To date there is limited evidence that digital health applications can actually assist a patient or orthopedic surgeon in establishing the primary diagnosis for knee disorders. Future research should aim at integrating multiple sources of information, standardizing study designs with close collaboration between clinicians, data scientists, data managers, lawyers and service users in order to create reliable and secure databases.
Background Knee pain is highly prevalent worldwide, and this number is expected to rise in the future. The COVID-19 outbreak, in combination with the aging population, rising health care costs, and the need to make health care more accessible worldwide, has led to an increasing demand for digital health care applications to deliver care for patients with musculoskeletal conditions. Digital health and other forms of telemedicine can add value in optimizing health care for patients and health care providers. This might reduce health care costs and make health care more accessible while maintaining a high level of quality. Although expectations are high, there is currently no overview comparing digital health applications with face-to-face contact in clinical trials to establish a primary knee diagnosis in orthopedic surgery. Objective This study aimed to investigate the currently available digital health and telemedicine applications to establish a primary knee diagnosis in orthopedic surgery in the general population in comparison with imaging or face-to-face contact between patients and physicians. Methods A scoping review was conducted using the PubMed and Embase databases according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) statement. The inclusion criteria were studies reporting methods to determine a primary knee diagnosis in orthopedic surgery using digital health or telemedicine. On April 28 and 29, 2021, searches were conducted in PubMed (MEDLINE) and Embase. Data charting was conducted using a predefined form and included details on general study information, study population, type of application, comparator, analyses, and key findings. A risk-of-bias analysis was not deemed relevant considering the scoping review design of the study. Results After screening 5639 articles, 7 (0.12%) were included. In total, 2 categories to determine a primary diagnosis were identified: screening studies (4/7, 57%) and decision support studies (3/7, 43%). There was great heterogeneity in the included studies in algorithms used, disorders, input parameters, and outcome measurements. No more than 25 knee disorders were included in the studies. The included studies showed a relatively high sensitivity (67%-91%). The accuracy of the different studies was generally lower, with a specificity of 27% to 48% for decision support studies and 73% to 96% for screening studies. Conclusions This scoping review shows that there are a limited number of available applications to establish a remote diagnosis of knee disorders in orthopedic surgery. To date, there is limited evidence that digital health applications can assist patients or orthopedic surgeons in establishing the primary diagnosis of knee disorders. Future research should aim to integrate multiple sources of information and a standardized study design with close collaboration among clinicians, data scientists, data managers, lawyers, and service users to create reliable and secure databases.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.