Lower limb injury prevention programs in youth soccer: a survey of coach knowledge, usage, and barriers.

BACKGROUND: Participation in youth soccer carries a significant risk of injury, most commonly non-contact injuries of the lower extremity. A growing body of research supports the use of neuromuscular interventions by teams to prevent such injuries, yet the uptake of these recommendations by soccer teams remains largely unexplored. The purposes of the study were to determine (1) the level of awareness by youth coaches of injury prevention programs and their efficacy; (2) the number of youth coaches that use these interventions; and (3) barriers and potential facilitators to implementing a sustainable injury prevention program. METHODS: Four hundred eighteen coaches of male and female youth soccer teams were emailed an online blinded survey. This survey consisted of 26 questions covering coaches' demographics, level of training, experience with injuries among players, and use of injury prevention programs. Question development was guided by the RE-AIM Sports Setting Matrix in combination with findings from the literature review and expert experience from orthopaedic surgeons specializing in sport medicine. RESULTS: Of the 418 coaches contacted, 101 responded. Only 29.8% of respondents used an injury prevention program in the prior soccer season. Coaches that had completed one or more coaching courses were more likely to use an intervention. Of those that did not already use an intervention, coaches agreed or strongly agreed that they would consider using one if it could be used in place of the warm up and take no more than 20 min (74.0%), if they could access information about the exercises (84.0%), and if the exercises could be properly demonstrated (84.0%). Additionally, 84% of coaches that did not already use an intervention agreed or strongly agreed that knowing that interventions may reduce a player's risk of injury by 45% would affect whether they would use one. CONCLUSION: This study suggests that the current use and awareness of injury prevention programs is limited by a lack of communication and education between sporting associations and coaches, as well as perceived time constraints. The results also suggest that improving coaching education of injury prevention could increase the frequency of intervention use.

Surgical indications for long head biceps tenodesis: a systematic review.

PURPOSE: Tenodesis as a treatment for a symptomatic long head of biceps (LHB) tendon is becoming more prevalent and new techniques exist which are purported to make the procedure faster and more effective. The determination of appropriate surgical indications for the procedure will facilitate proper analysis and comparisons of the varied techniques. This review analyses the reported indications in the literature in an attempt to guide future research and treatment. METHODS: The EMBASE and MEDLINE databases were searched to identify surgical studies that report indications for LHB tenodesis. After title, abstract searches, and full-text reviews, 39 studies were included. Study information was extracted including author, publication date, patient numbers, patient age, follow-up period, procedure performed, surgical indications, and study design. RESULTS: Although indications were variable and often non-descriptive, of the 39 included studies, the most common indications for LHB tenodesis were partial tearing (51 %), instability (49 %), or tenosynovitis (44 %), SLAP tear (28 %), and positive clinical exam for LHB pain (26 %). Most studies were of low quality of evidence, such as case series (33.0 %) and retrospective studies (43.5 %), and were of low-to-moderate methodological quality. CONCLUSION: Although indications used for LHB tenodesis are inconsistently reported, the most common indications include LHB tearing, instability, and tenosynovitis. Other indications include clinical exam indicating LHB pathology, SLAP tears and subjective shoulder pain. Rigorous reporting of indications and preoperative/operative findings should be emphasized in future studies, allowing surgeons to appropriately analyse outcomes of LHB tenodesis of different techniques within patient groups with distinct indications. LEVEL OF EVIDENCE: Systematic review, Level IV.

ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types.

ENViz (Enrichment Analysis and Visualization) is a Cytoscape app that performs joint enrichment analysis of two types of sample matched datasets in the context of systematic annotations. Such datasets may be gene expression or any other high-throughput data collected in the same set of samples. The enrichment analysis is done in the context of pathway information, gene ontology or any custom annotation of the data. The results of the analysis consist of significant associations between profiled elements of one of the datasets to the annotation terms (e.g. miR-19 was associated to the cell-cycle process in breast cancer samples). The results of the enrichment analysis are visualized as an interactive Cytoscape network.

Pilot evaluation of a multidisciplinary, medically supervised, nonsurgical weight loss program on the severity of low back pain in obese adults.

BACKGROUND CONTEXT: Low back pain (LBP) is a prevalent and costly condition. Although its etiology is largely unknown, a link to obesity is suspected, and weight loss programs are often recommended to obese patients with LBP. PURPOSE: To assess the efficacy of a pilot, multidisciplinary, medically supervised, nonsurgical weight loss program involving meal replacement, caloric restriction, education, exercise, and group therapy at reducing the severity of LBP in obese adults. STUDY DESIGN: Pilot prospective cohort study. PATIENT SAMPLE: A total of 46 obese adults (mean body mass index [BMI] 44.7±7.6 kg/m2) referred to an academic hospital for a multidisciplinary, medically supervised, nonsurgical weight loss program who reported LBP were enrolled. OUTCOME MEASURES: The severity of LBP was measured using the Numerical Pain Scale (NPS) and modified Oswestry Disability Index (ODI) at baseline (Week 1), Week 14, and Week 53; weight, BMI, dietary adherence, and physical activity levels were also measured. METHODS: The 52-week weight loss program was administered by a team of physicians, dietitians, exercise specialists, and nurses and included liquid meal replacements for 12 weeks, followed by supervised caloric restriction diets for 13 weeks. Participants also attended weekly group therapy and educational meetings for the first 26 weeks, after which they were instructed to continue caloric restriction diets, engage in 60 to 90 minutes of daily physical activity, and attend monthly group meetings for an additional 26 weeks. RESULTS: At baseline, NPS was mild in 61% (n=28), moderate in 30% (n=14), and severe in 9% (n=4), whereas ODI was moderate in 48% (n=22), severe in 17% (n=8), and crippling in 4% (n=2). At Week 14 (n=42; 92% follow-up), there were significant improvements in NPS (p=.001) and ODI (p=.0005), and significant weight loss (p<.0001). At Week 53 (n=28; 61% follow-up), there was a trend toward improvement in NPS (p=.07), significant improvement in ODI (p=.0009), and significant weight loss (p=.0005); reduction in BMI was significantly associated with clinically important improvements in ODI (p=.046). CONCLUSIONS: This pilot prospective cohort study suggests that a 52-week multidisciplinary, medically supervised, nonsurgical weight loss program in obese patients with LBP improved both pain and function.

VistaClara: an expression browser plug-in for Cytoscape.

SUMMARY: VistaClara is a plug-in for Cytoscape which provides a more flexible means to visualize gene and protein expression within a network context. An extended attribute browser is provided in the form of a graphical and interactive permutation matrix that resembles the heat map displays popular in gene-expression analysis. This extended browser permits a variety of display options and interactions not currently available in Cytoscape. AVAILABILITY: http://chianti.ucsd.edu/cyto_web/plugins/index.php.

Integration of biological networks and gene expression data using Cytoscape.

Cytoscape is a free software package for visualizing, modeling and analyzing molecular and genetic interaction networks. This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest. Five major steps are described: (i) obtaining a gene or protein network, (ii) displaying the network using layout algorithms, (iii) integrating with gene expression and other functional attributes, (iv) identifying putative complexes and functional modules and (v) identifying enriched Gene Ontology annotations in the network. These steps provide a broad sample of the types of analyses performed by Cytoscape.

An architecture for biological information extraction and representation.

MOTIVATIONS: Technological advances in biomedical research are generating a plethora of heterogeneous data at a high rate. There is a critical need for extraction, integration and management tools for information discovery and synthesis from these heterogeneous data. RESULTS: In this paper, we present a general architecture, called ALFA, for information extraction and representation from diverse biological data. The ALFA architecture consists of: (i) a networked, hierarchical, hyper-graph object model for representing information from heterogeneous data sources in a standardized, structured format; and (ii) a suite of integrated, interactive software tools for information extraction and representation from diverse biological data sources. As part of our research efforts to explore this space, we have currently prototyped the ALFA object model and a set of interactive software tools for searching, filtering, and extracting information from scientific text. In particular, we describe BioFerret, a meta-search tool for searching and filtering relevant information from the web, and ALFA Text Viewer, an interactive tool for user-guided extraction, disambiguation, and representation of information from scientific text. We further demonstrate the potential of our tools in integrating the extracted information with experimental data and diagrammatic biological models via the common underlying ALFA representation. CONTACT: aditya_vailaya@agilent.com.