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Objective: We determine whether there is a relationship between the number of different lower-limb resistance exercises prescribed in a program and outcomes for people with knee osteoarthritis.
Methods: We used a systematic review with meta-regression. We searched the Cochrane Central Register of Controlled Trials, MEDLINE, and Embase up to January 4, 2024. We included randomized controlled trials that evaluated land-based resistance exercise for knee osteoarthritis compared with nonexercise interventions. We conducted meta-regressions between number of different exercises prescribed and standardized mean differences (SMDs) for pain and function. Covariates (intervention duration, frequency per week, use of resistance exercise machine[s], and comparator type) were applied to attempt to reduce between-study heterogeneity.
Results: Forty-four trials (3,364 participants) were included. The number of resistance exercises ranged from 1 to 12 (mean ± SD 5.0 ± 3.0). Meta-regression showed no relationship between the number of prescribed exercises and change in pain (slope coefficient: -0.04 SMD units [95% confidence interval {95% CI} -0.14 to 0.05]) or self-reported function (SMD -0.04 [95% CI -0.12 to 0.05]). There was substantial heterogeneity and evidence of publication bias. However, even after removing 31 trials that had overall unclear/high risk of bias, there was no change in relationships.
Conclusion: There was no relationship between the number of different lower-limb resistance exercises prescribed in a program and change in knee pain or self-reported function. However, given that we were unable to account for all differences in program intensity, progression, and adherence, as well as the heterogeneity and overall low quality of included studies, our results should be interpreted with caution.
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http://dx.doi.org/10.1002/acr.25476 | DOI Listing |
Comput Biol Med
September 2025
Laboratorio de Procesado de Imagen (LPI), ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain. Electronic address:
Modelling the diffusion-relaxation magnetic resonance (MR) signal obtained from multi-parametric sequences has recently gained immense interest in the community due to new techniques significantly reducing data acquisition time. A preferred approach for examining the diffusion-relaxation MR data is to follow the continuum modelling principle that employs kernels to represent the tissue features, such as the relaxations or diffusion properties. However, constructing reasonable dictionaries with predefined signal components depends on the sampling density of model parameter space, thus leading to a geometrical increase in the number of atoms per extra tissue parameter considered in the model.
View Article and Find Full Text PDFTalanta
September 2025
Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Oslo, 0371, Oslo, Norway; Hybrid Technology Hub - Centre of Excellence, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0315, Oslo, Norway. Electronic address:
Dried blood spots (DBS) offer a practical and relatively non-invasive method for sample collection. Here, we evaluate the feasibility of applying H NMR spectroscopy to metabolomic analysis of DBS. Various solvent suppression techniques and extraction protocols were tested using aqueous and methanolic solvents.
View Article and Find Full Text PDFDrug Alcohol Depend
August 2025
Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Electronic address:
Background: Alcohol and cannabis co-use is increasingly prevalent across the U.S., concomitant with trends towards recreational cannabis legalization.
View Article and Find Full Text PDFAquat Toxicol
September 2025
University of Campinas (UNICAMP), Institute of Chemistry, Campinas, São Paulo, Brazil.
Aquatic pollution caused by pesticides raises concerns about the effects on wildlife. While risk assessment protocols with invertebrates focus mainly on arthropods, the effects on gastropods are underexplored. In this way, the impact of exposure to imidacloprid, a neonicotinoid insecticide, and tebuconazole, an azole fungicide, on different life stages of the freshwater snail Physa acuta was investigated.
View Article and Find Full Text PDFComput Biol Chem
September 2025
Department of Mathematics, Gour Mahavidyalaya, Malda 732142, India. Electronic address:
This research proposes an advanced technique to manipulating milk flow and its thermal characteristics through a dynamic electromagnetic pathway, effectively managing the non-linear thermal behavior of milk. This study employs advanced artificial intelligence (AI) to create a sophisticated analytical framework for modeling the complex interactions between milk flow, hybrid nanoparticles (Ag-ZnO), and dynamic thermal conditions in a squarely activated electromagnetic tunnel. The research focuses on optimizing key steps in dairy manufacturing-microbial reduction and texture stabilization by analyzing the behavior of Ag-ZnO/milk under oscillating thermal amplification, incorporating radiant heat and Darcy drag effects.
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