Musculoskeletal Diagnosis and Treatment: Connecting Gaps to Enhance Patient Care

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 911

Special Issue Editor


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Guest Editor
Faculty of Welfare and Health Sciences, University of Haifa, Haifa 3498838, Israel
Interests: anatomy; musculoskeletal system; spine; low back pain; sport injuries; pelvic floor; physiotherapy
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Special Issue Information

Dear Colleagues,

Musculoskeletal disorders affect individuals throughout their lifespan, causing pain, decreased function, and reduced quality of life. These conditions impact over half of adults, with their prevalence increasing as individuals age.

Most patients with musculoskeletal disorders may benefit from conservative treatment such as physiotherapy, thus avoiding unnecessary surgeries.

Although physiotherapy is largely evidence-based, there are still gaps in the diagnosis and treatment decision-making process, despite increased research efforts. This is mainly due to the heterogeneity in disorders, symptoms, and patients, which has further led to the development of personalized treatment.

This Special Issue aims to present recent evidence on the diagnosis and treatment of musculoskeletal disorders to enhance awareness of the importance of the diagnosis process, including differential diagnosis, and the application of appropriate treatment. This will lead to more accurate assessments and better patient care.

Original articles, systematic reviews or meta-analyses are welcomed. We look forward to receiving your submissions.

Prof. Dr. Gali Dar
Guest Editor

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Keywords

  • musculoskeletal
  • back pain
  • neck pain
  • knee
  • shoulder
  • diagnosis
  • physiotherapy

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Published Papers (1 paper)

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Research

10 pages, 1946 KiB  
Article
Prediction Model for Sciatic Nerve Procedures: A Cross-Sectional Study
by Isabel Minguez-Esteban, Ángel González-de-la-Flor, Jorge Hugo Villafañe, Juan Antonio Valera-Calero, Gustavo Plaza-Manzano, Pedro Belón-Pérez and Carlos Romero-Morales
J. Clin. Med. 2024, 13(24), 7851; https://doi.org/10.3390/jcm13247851 - 23 Dec 2024
Viewed by 659
Abstract
Objectives: We aimed to create a predictive model to estimate sciatic nerve depth using anthropometric and demographic data to enhance safety and precession in needle-based interventions. Setting: The study was conducted at Universidad Europea de Madrid, Spain. Methods: A Cross-sectional observational study was [...] Read more.
Objectives: We aimed to create a predictive model to estimate sciatic nerve depth using anthropometric and demographic data to enhance safety and precession in needle-based interventions. Setting: The study was conducted at Universidad Europea de Madrid, Spain. Methods: A Cross-sectional observational study was carried out between January and April 2024. The study included fifty volunteers aged 18–45 years, without any muscle tone affections, lower limb asymmetries, or history of lower limb surgeries. Demographic and anthropometric data were collected, including sex, age, height, weight, BMI, and leg length measure and thigh circumference at specific points. The sciatic nerve depth was measured using ultrasound imaging under the gluteal fold and in the posterior middle third of the thigh. Results: Correlation analysis revealed significant associations between thigh circumference at the proximal and middle third and sciatic nerve depth. A multiple linear regression model identified that the proximal thigh circumference was a significant predictor of sciatic nerve depth, explaining 44.5% of the variance. The variance increased to 49.7% when gender was added. The depth of the sciatic nerve in the middle third explained 38.2% of the variance. And the inclusion of gender in the model explained 40.8% of the variance for the middle third. Conclusions: This study identify significant predictors such as the thigh girth at the proximal and mid-third levels, gender, and the BMI. These findings suggest that clinicians can use these anthropometric measurements to estimate sciatic nerve depth more accurately, reducing the risk of accidental nerve injury and improve the precision and safety of needling procedures during invasive procedures. Full article
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