A systematic review of the effectiveness of dry needling in subacromial syndrome
Our aim was to evaluate the effectiveness of dry needling (DN) combined with conventional physiotherapy in the recovery of patients with subacromial syndrome (SAS). A search was made of the main open access health science databases. The publication date was not limited for systematic reviews but was for randomized clinical trials (RCTs), which were limited to the last five years (from 2016) in English or in Spanish. Ninety-four studies were selected. In order to assess the quality of the studies, the JADAD scale or Oxford quality scoring system was used. A total of 402 patients were analyzed in all the studies in which the application of conventional physiotherapy was compared to the DN, ei…
Quality Analysis of YouTube Videos Presenting Pelvic Floor Exercises after Prostatectomy Surgery
Background: Prostate cancer (PC) is a major cause of disease and mortality among men. Surgical treatment involving the removal of the prostate may result in temporary or permanent erectile dysfunction (ED) and urinary incontinence (UI), with considerable impact on quality of life. Pelvic floor muscle training (PFMT) is one of the recommended techniques for the prevention, treatment, and rehabilitation of postoperative complications. The aim of this observational study was to assess the quality of YouTube videos—accessible to any patient—related to exercises after prostatectomy surgery. Methods: A systematic search was performed on YouTube on 24 September 2020. One hundred and fifty videos w…
Review of the quality of youTube videos recommending exercises for the COVID-19 Lockdown
Background: The world is experiencing a pandemic caused by COVID-19. Insufficient physical activity can increase the risk of illness. Trying to replicate a normal search that any user/patient could do in YouTube, the objective of this study was to evaluate the quality of YouTube videos related to home exercises during lockdown and their adherence to World Health Organization (WHO) recommendations. Methods: A simple search was carried out on YouTube. The first 150 videos were selected. After applying exclusion criteria, 68 videos were analyzed and evaluated. Two statistical analyses based on machine learning techniques were carried out. Videos were classified according to principal component…