Accepted

Pain reduction, immunomodulation, and cartilage repair are key therapeutic goals in osteoarthritis (OA) treatment. In this study, we evaluated the therapeutic effects of porcine cartilage acellularized matrix (pCAM) derived from […]

Migraine is the most common complex neurological disorder, affecting over a billion people worldwide. Neurogenic inflammation has long been recognized as a key factor in the pathophysiology of migraine though […]

Familial Mediterranean Fever (FMF) is a hereditary autoinflammatory disorder predominantly affecting individuals of Mediterranean and Middle Eastern descent, including those with certain heritages including Sephardic Jewish, Armenian, Turkish, and Arab. […]

We aimed to update the 2018 systematic literature review on the efficacy and safety of treatments for hand osteoarthritis (OA), which was based on 126 studies.

Historically in medicine and beyond, the understanding of and treatment of pain is based on finding tissue injury. The fact that for chronic pain, there often is no (longer) any […]

Knee osteoarthritis significantly impacts mobility and quality of life. This condition is a leading cause of disability in aging populations, with total knee replacement commonly sought in advanced cases. Traditional […]

Chronic pain is a leading cause of morbidity in children and adolescents globally but can be managed with a combination of traditional Western medicine and integrative medicine (IM) practices. This […]

Prospective biochemical study of comparison of A Disintegrin and Metalloproteinase with Thrombospondin motifs-4 (ADAMTS-4) and A Disintegrin and Metalloproteinase with Thrombospondin motifs 5 (ADAMTS5) levels in preoperative and postoperative venous […]

Intervertebral disc degeneration disease (IVDD) is a prevalent orthopedic condition that causes chronic lower back pain, imposing a substantial economic burden on patients and society. Despite its high incidence, the […]

Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This study aimed to use a large real-world electronic medical records database to determine the optimal machine learning model […]