Objective: To systematically evaluate the efficacy of scraping therapy on knee osteoarthritis (KOA).
Methods: A computerized search was conducted in several databases, including PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure Database, China Science and Technology Journal Database, Wanfang, and Chinese BioMedical Literature Database, from the establishment date of these databases to April 9, 2023. Randomized controlled trials (RCTs) on scraping therapy for KOA were collected in accordance with the "Participants-Intervention-Control-Outcome-Study design" criteria. The methodological evaluation of the included studies was carried out using RoB 2.0, and Meta-analysis was conducted using RevMan. The Grades of Recommendations Assessment, Development and Evaluation (GRADE System) was applied to grade the quality of evidence.
Results: A total of 12 RCTs with 997 subjects were included in the Meta-analysis. Results indicated that compared with the control group, the scraping therapy treatment group exhibited increased Lysholm scores [mean difference () = 4.96, 95% confidence intervals () (3.18, 6.74), < 0.000 01] and Hospital for Special Surgery scores [= 8.35, 95% (3.92, 12.78), 0.0002] and decreased visual analog scale scores [ = -2.11, 95% (-3.79, -0.44), 0.01] and Western Ontario and McMaster University Osteoarthritis Index scores [= -6.77, 95% (-8.99, -4.56), < 0.000 01)]. The quality of evidence obtained in this Meta-analysis was low according to the GRADE system.
Conclusion: The available evidence suggests that scraping therapy may have certain clinical efficacy in the treatment of KOA. However, further high-quality RCTs are needed to confirm the findings.
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http://dx.doi.org/10.19852/j.cnki.jtcm.20240626.001 | DOI Listing |
Nat Med
January 2025
Department of Neurosurgery, NYU Langone Health, New York, NY, USA.
The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed to unverified medical knowledge that may include deliberately planted misinformation. Here, we perform a threat assessment that simulates a data-poisoning attack against The Pile, a popular dataset used for LLM development.
View Article and Find Full Text PDFZhonghua Yan Ke Za Zhi
January 2025
Department of Ophthalmology,Beijing Hospital, National Center of Gerontology Institute of Geriatric Medicine,Chinese Academy of Medical Sciences,Beijing100730,China.
Breast Cancer Res
December 2024
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA.
Background: Primary luminal breast cancer cells lose their identity rapidly in standard tissue culture, which is problematic for testing hormone interventions and molecular pathways specific to the luminal subtype. Breast cancer organoids are thought to retain tumor characteristics better, but long-term viability of luminal-subtype cases is a persistent challenge. Our goal was to adapt short-term organoids of luminal breast cancer for parallel testing of genetic and pharmacologic perturbations.
View Article and Find Full Text PDFMycoses
January 2025
Department of Clinical Microbiology, Aarhus University Hospital, Aarhus, Denmark.
Background: Emerging terbinafine resistance in Trichophyton species has been reported globally. The prevalence in clinical samples from patients with treatment failure is unknown in Denmark.
Objectives: Prospective study of terbinafine resistance in Trichophyton isolates from patients with recalcitrant skin or nail infections.
JMIR Infodemiology
December 2024
Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Background: Understanding advocacy strategies is essential to improving dementia awareness, reducing stigma, supporting cognitive health promotion, and influencing policy to support people living with dementia. However, there is a dearth of evidence-based research on advocacy strategies used to support dementia awareness.
Objective: This study aimed to use posts from X (formerly known as Twitter) to understand dementia advocacy strategies during World Alzheimer's Awareness Month in September 2022.
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