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Introduction: Spondyloarthritis (SpA) encompasses a group of chronic inflammatory diseases affecting the spine and peripheral joints. Although classification criteria for SpA have been tested globally, their validity and performance in Latin American (LA) populations remain debated.
Methods: A systematic literature review was conducted following PRISMA guidelines, with the protocol registered in PROSPERO (CRD42023464861). Searches were performed in Medline, Cochrane library, Embase and Virtual Health Library databases based on the PIRO framework. Studies assessing SpA classification criteria in LA patients were included, focusing on performance characteristics. Pooled sensitivity and specificity were estimated using a proportional meta-analysis with random-effect model, followed by sensitivity analysis.
Results: Six studies met the inclusion criteria. Of the multinational studies, fewer than 10% included LA patients. Most of the studies evaluated the ASAS, the most recent criteria, and clinical diagnosis by a physician as the gold standard. The Amor criteria reported a pooled sensitivity of 71% and specificity of 46%. The ESSG criteria had a pooled sensitivity of 83% and specificity of 35%. The ASAS criteria had a pooled sensitivity of 75% and specificity of 43%.
Conclusions: These systematic literature review and meta-analysis, including SpA patients from six LA countries, suggest that the ASAS classification criteria offer the best balance for sensitivity and specificity. However, these findings highlight the need for high-quality, homogeneous studies to validate SpA classification criteria in LA populations as patient assessment continues to evolve.
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http://dx.doi.org/10.1007/s10067-025-07474-0 | DOI Listing |
Front Oncol
August 2025
Department of Surgery, Hebei Medical University, Shijiazhuang, Hebei, China.
Background: Tumor deposit (TD) is an independent risk factor associated with recurrence or metastasis for patients with colorectal cancer (CRC). The scenario in which both TD and lymph node metastasis (LNM) are positive is not clearly illustrated by the current TNM staging system. Simply treating one TD as one or two LNMs by a weighting factor is inappropriate.
View Article and Find Full Text PDFJ Biomed Opt
September 2025
Leibniz University Hannover, Hannover Centre for Optical Technologies, Hannover, Germany.
Significance: Melanoma's rising incidence demands automatable high-throughput approaches for early detection such as total body scanners, integrated with computer-aided diagnosis. High-quality input data is necessary to improve diagnostic accuracy and reliability.
Aim: This work aims to develop a high-resolution optical skin imaging module and the software for acquiring and processing raw image data into high-resolution dermoscopic images using a focus stacking approach.
Appl Biosaf
August 2025
Mahidol-Oxford Tropical Research Medicine Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Introduction: Dengue virus (DENV) poses a significant global health threat, particularly in tropical and subtropical regions, where it is primarily transmitted by spp. mosquitoes. Its biosafety and biosecurity management present unique challenges due to both its vector-borne nature and rare instances of nonvector transmission.
View Article and Find Full Text PDFInt J Eat Disord
September 2025
Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, Montpellier, France.
Objective: This study compared overvaluation of weight and shape (OWS), drive for thinness (DT), and their combination (OWS-DT) as alternative severity classifications for anorexia nervosa (AN) to the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) severity classification.
Method: 312 AN treatment-seeking outpatients (mean age = 26.8, SD = 10.
Comput Biol Med
September 2025
Postgraduate Program in Computing, Center for Technological Development, Federal University of Pelotas, Pelotas, 96010-610, Rio Grande do Sul, Brazil.
In the task of image classification for emotion recognition, facial expression data is commonly used. However, electrical brain signals generated by neural activity provide data with greater integrity. We can capture these signals non-invasively using electroencephalogram (EEG) recording devices.
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