Ultrasound-guided pulsed radiofrequency of the saphenous nerve for knee osteoarthritis pain: a pilot randomized trial

Aim: Knee osteoarthritis is a degenerative disease complicated by pain and functional limitation. Newer pain-relieving interventions include pulsed radiofrequency (PRF), but studies on its efficacy have limitations including lack of control group and retrospective design that prevent sound conclusions. Materials & methods: We conducted a blind prospective randomized sham-controlled crossover pilot trial according to the CONSORT guidelines, to evaluate the efficacy of ultrasound-guided saphenous nerve PRF in gonarthritis pain. Results: Sixteen patients completed the study. Pain and function significantly improved after real PRF (numerical rating scale mean difference = 3.31), which was superior to sham PRF over time for pain (3 months) and function (6 months). Conclusion: PRF of the saphenous nerve is an alternative to relieve pain in gonarthritis. Our results provide data to support a sample size calculation for future trials. Clinical trial registration: NCT04454710

Multi-View Robust Tensor-Based Subspace Clustering

In this era of technology advancement, huge amount of data is collected from different disciplines. This data needs to be stored, processed and analyzed to understand its nature. Networks or graphs arise to model real-world systems in the different fields. Early work in network theory adopted simple graphs to model systems where the system’s entities and interactions among them are modeled as nodes and static, single-type edges, respectively. However, this representation is considered limited when the system’s entities interact through different sources. Multi-view networks have recently attracted attention due to its ability to consider the different interactions between entities explicitly. An important tool to understand the structure of multi-view networks is community detection. Community detection or clustering reveals the significant communities in the network which provides dimensionality reduction and a better understanding of the network. In this paper, a new robust clustering algorithm is proposed to detect the community structure in multi-view networks. In particular, the proposed approach constructs a 3-mode tensor from the normalized adjacency matrices that represent the different views. The constructed tensor is decomposed into a self-representation and error components where the extracted self-representation tensor is used to detect the community structure of the multi-view network. Moreover, a common subspace is computed among all views where the contribution of each view to the common subspace is optimized. The proposed method is applied to several real-world data sets and the results show that the proposed method achieves the best performance compared to other state-of-the-art algorithms

Discovering Community Structure in Multiplex Networks via a Co-Regularized Robust Tensor-Based Spectral Approach

Complex networks arise in various fields, such as biology, sociology and communication, to model interactions among entities. Entities in many real-world systems exhibit different types of interactions, which requires modeling these type of systems properly. Multiplex networks are used to model these systems, as they can reflect the nodes’ pair-wise interactions as multiple distinct types of links across layers. Community detection is a widely studied application in network analysis as it provides insights into the structure and organization of the network. Even though multiple algorithms have been developed in the community detection field, many of them have a limited performance in the presence of noise. In this article, we develop a novel algorithm that combines tensor low-rank representation, spectral clustering and distance regularization to improve the accuracy in discovering communities in multiplex networks. The low-rank representation leads to reducing the noise and errors existing in the network and the optimization of an accurate consensus set of eigenvectors that reveals the communities in the network. Moreover, the proposed approach balances the agreement between the eigenvectors of each layer, i.e., individual subspaces, and the consensus set of eigenvectors, i.e., common subspaces, by minimizing the projection distance between them. The common and individual subspaces are computed efficiently through Tucker decomposition and modified spectral clustering, respectively. Finally, multiple experiments are conducted on real and simulated networks to evaluate the proposed approach and compare it to state-of-the-art algorithms. The proposed approach shows its robustness and efficiency in discovering the communities in multiplex networks

Prevalence of attention-deficit hyperactivity disorder in children, adolescents and adults in the Middle East and North Africa region: a systematic review and meta-analysis

Objectives To systematically estimate the overall prevalence of attention-deficit hyperactivity disorder (ADHD) in children, adolescents and adults across the Middle East and North Africa (MENA) region.Design Systematic review and meta-analysis conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement.Data sources Medline and Scopus databases were comprehensively and systematically searched between 1990 and February 2023.Eligibility criteria for selecting studies We included all cross-sectional or cohort studies that diagnosed ADHD using validated diagnostic tools (eg, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria, ADHD rating scales and ADHD diagnostic interview) or non-validated tools (eg, brain imaging techniques, computerised cognitive tests and quantitative electroencephalography).Data extraction and synthesis Two reviewers performed the data extraction independently using standardised data collection sheet. Newcastle-Ottawa Scale was used to assess the quality of the included studies. Individualised and pooled event rate and upper and lower limit at 95% CI were calculated according to the ADHD cases and the total sample size using a random-effect model. The subgroup prevalence analyses according to ADHD subtypes, gender, MENA country and age were also performed.Results A total of 63 articles met the inclusion criteria involving 849 902 participants. The overall prevalence of ADHD was 10.3% (95% CI 0.081 to 0.129). The prevalence rate ranged from 1.3% (Yemen) to 22.2% (Iran). Subgroup analyses showed that the prevalence in adults was 13.5 and 10.1 in children and adolescents. Males exhibited significantly higher prevalence compared with females as these were 11.1% and 7%, respectively. Attention-deficit subtype was significantly the most prevalent (46.7%) compared with hyperactivity/impulsivity (33.7%) and combined types (20.6%).Conclusion The overall prevalence of ADHD was high in the MENA region. It is crucial to allocate more attention and resources towards the prevention and treatment of ADHD in children, adolescents and adults within the region

Axial postural abnormalities and pain in Parkinson's disease

Axial postural abnormalities and pain are two main determinants of poor quality of life in patients with Parkinson's disease (PD). Indeed, a detailed characterization of pain and other non-motor symptoms in patients with PAs has not been provided yet. The aim of this study is to assess the phenomenology of pain and other non-motor symptoms in PD patients with Pisa syndrome and camptocormia compared to PD patients without axial postural abnormality. Forty-five PD participants were equally distributed in three groups: patients with Pisa syndrome (PS), patients with Camptocormia (CC), and patients without postural abnormalities (PD). Pain characteristics were assessed by Kings Parkinson's Pain Scale (KPPS), brief pain inventory (BPI), and numeric pain rating scale (NRS). All participants completed clinical assessments by non-motor symptom scale (NMSS), and movement disorder society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) parts II-III. Patients with and without axial postural abnormalities showed one or more types of pain, being fluctuation, nocturnal, chronic, and musculoskeletal the most frequently reported in Pisa Syndrome and camptocormia. PD group compared with PS and CC groups showed differences in the KPPS, NMSS, BPI pain severity and interference, and NRS total scores. No significant differences were found between PS group compared with CC group with exception of the NMSS total scores. PD patients with Pisa syndrome or camptocormia have a higher burden of musculoskeletal, chronic and fluctuation pain than PD patients without axial postural abnormalities, suggesting different etiologies of pain and possible different treatments

Metal-poor Stars Observed with the Automated Planet Finder Telescope. III. CEMP-no Stars are the Descendant of Population III Stars

In this study, we report a probabilistic insight into the stellar mass and supernovae (SNe) explosion energy of the possible progenitors of five CEMP-no stars. This was done by a direct comparison between the abundance ratios [X/Fe] of the light-elements and the predicted nucleosynthetic yields of SN of high-mass metal-free stars. This comparison suggests possible progenitors with stellar mass range of 11 - 22\,M$_{\odot}$ and explosion energies of $0.3 - 1.8 \times 10^{51}$\,erg. The coupling of the chemical abundances with kinematics derived from $Gaia$ DR2 suggests that our sample do not enter the outer-halo region. In addition, we suggest that these CEMP-no stars are not $Gaia$-Sausage nor $Gaia$-Sequoia remnant stars, but another accretion event might be responsible for the contribution of these stars to the Galactic Halo of the Milky-Way

Exploring Communication Practices in Italian Physiotherapy: Knowledge and Use of Effective Communication Strategies—A National Descriptive Study

This study aimed to investigate the knowledge and use of effective communication strategies among Italian physiotherapists. We utilized a questionnaire consisting of 19 questions to collect data on the knowledge and use of effective communication strategies among Italian physiotherapists. The results revealed that only 35.8% of the respondents reported being aware of communication strategies related to physiotherapy, with their first exposure occurring during their three-year degree. Despite the majority of respondents agreeing that communication is an effective strategy for improving patient adherence, only about half reported making moderate use of open-ended questions and metaphors during treatment sessions. Furthermore, more than half of the respondents reported being unaware of Motivational Interviewing. The results of this study found that there is a consensus among Italian physiotherapists about the importance of effective communication in clinical practice, though the knowledge and application of some communication strategies remain limited. These findings suggest that there is room for improvement in the training and education of physiotherapists in Italy, with a need for greater emphasis on communication strategies in the university educational curriculum, starting from the bachelor’s degree