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http://dx.doi.org/10.1186/s12711-024-00877-8 | DOI Listing |
Biomol Biomed
September 2025
Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Coronary heart disease (CHD) is a leading cause of morbidity and mortality; patients with type 2 diabetes mellitus (T2DM) are at particularly high risk, highlighting the need for reliable biomarkers for early detection and risk stratification. We investigated whether combining the stress hyperglycemia ratio (SHR) and systemic inflammation response index (SIRI) improves CHD detection in T2DM. In this retrospective cohort of 943 T2DM patients undergoing coronary angiography, associations of SHR and SIRI with CHD were evaluated using multivariable logistic regression and restricted cubic splines; robustness was examined with subgroup and sensitivity analyses.
View Article and Find Full Text PDFEur J Gastroenterol Hepatol
August 2025
Department of Gastroenterology and Hepatology, Monash Health.
Background And Aims: Despite therapeutic advances, resection rates in Crohn's disease remain high. Kono-S is a novel anastomosis for ileocolonic resections; however, its altered configuration may challenge standard endoscopic assessment, particularly in the absence of validated scoring tools. This study evaluated the endoscopic assessment of Kono-S anastomosis anatomy and recurrence stratification using Rutgeert's score.
View Article and Find Full Text PDFJ Bras Pneumol
September 2025
. Divisão de Pneumologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo (SP) Brasil.
Objective: To evaluate the quality of ChatGPT answers to asthma-related questions, as assessed from the perspectives of asthma specialists and laypersons.
Methods: Seven asthma-related questions were asked to ChatGPT (version 4) between May 3, 2024 and May 4, 2024. The questions were standardized with no memory of previous conversations to avoid bias.
PLoS One
September 2025
State Key Laboratory of Precision Blasting Engineering, Jianghan University, Wuhan, Hubei, PR China.
Numerous parameters influence the slotting performance of slotted cartridge, to facilitate rapid, efficient, and accurate predictions of the slitting performance, statistical analysis of PMMA blasting experiments with six different slitted cartridge parameters yielded 12 evaluation indicators. Subsequently, a principal component analysis (PCA) method was introduced to reduce the dimensionality of the data associated with these indicators, and three new comprehensive indicators were extracted for a comprehensive assessment of the slotting performance. The PCA scores ranked the influence of the six slotted cartridge parameters on slotting performance as follows: decoupling coefficient, slotting width, slotting angle, slotting tube thickness, slotting tube material, and charge amount.
View Article and Find Full Text PDF