Juvenile chronic gout in its polyarticular deformative form has rarely been described in medical literature. We report a rare case of destructive polyarticular tophaceous gout in a 31-year-old Senegalese man. He consulted for bilateral asymmetric polyarthritis with deformities of the hands and feet that had been ongoing in recurrent episodes since the age of 18 years in association with tophus. He had received no previous medication. All laboratory investigations were normal except hyperuricemia 104 mg/l. Radiographs of affected joints demonstrated evidence of destructive polyarthritis, i.e., articular narrowing and osteo-condensation of the left great toe. The patient responded favourably to colchicine, allopurinol and diet. Gouty arthropathy must be differentiated from rheumatoid arthritis, psoriasic arthritis and distal chronic osteoarthrosis. In our case, definitive diagnosis of gouty arthropathy was based on chronic polyarthritis associated with tophus, hyperuricemia and therapeutic response to colchicine. Polyarticular gout can be suspected in case of chronic seronegative polyarthritis and diagnosis can be confirmed on the basis of plain radiographs and laboratory investigations showing uricemia. Treatment is effective, well tolerated and inexpensive.
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J Cancer Res Ther
December 2024
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Background: Patients with transplant-ineligible relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) have limited treatment options and poor outcomes.
Methods: This phase III study (NCT04236141) evaluated the efficacy and safety of polatuzumab vedotin plus bendamustine and rituximab (Pola+BR) versus BR in Chinese patients with transplant-ineligible R/R DLBCL to support regulatory submission in China. Patients were randomized 2:1 to receive Pola+BR or placebo+BR.
J Cancer Res Ther
December 2024
Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Background: Colorectal cancer (CRC) is one of the most common cancers worldwide. The mechanisms underlying metastasis, which contributes to poor outcomes, remain elusive.
Methods: We used the Cancer Genome Atlas dataset to compare mRNA expression patterns of integrin α6 (ITGA6) and integrin β4 (ITGB4) in patients with CRC.
Am J Clin Pathol
January 2025
Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, US.
Objectives: Social media platforms like Facebook, X (formally Twitter), and Instagram bridge pathology programs with other health professionals, prospective students, and the public, but the extent of social media usage by residency programs remains unexplored. This study investigates the current landscape of social media utilization by pathology programs.
Methods: Using the National Resident Matching Program (NRMP) Match Data from 2022, 139 anatomic and clinical pathology residency programs were analyzed and categorized into 3 prestige tiers based on Doximity ratings.
Sports Med
January 2025
Medical Services, Real Madrid, Madrid, Spain.
Background: Aging is associated with sustained low-grade inflammation, which has been linked to age-related diseases and mortality. Long-term exercise programs have been shown to be effective to for attenuating this process; however, subsequent detraining might negate some of these benefits. Master athletes, as a model of lifelong consistent exercise practice, have been suggested to present similar inflammatory profiles to untrained young adults.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
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