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Development of a nomogram model to predict postoperative urinary retention risk after transabdominal preperitoneal inguinal hernia repair.
ANZ J Surg
January 2025
Department of General Surgery, Digestive Disease Hospital, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Objective: To explore independent risk factors and to establish a predictive model for postoperative urinary retention (POUR) following transabdominal preperitoneal inguinal hernia repair (TAPP).
Methods: Between January 2017 and December 2023, 598 patients with inguinal hernia who underwent TAPP at the General Surgery Department of Zunyi Medical University Affiliated Liupanshui Hospital were enrolled in the study. Participants were randomly divided into training and validation sets (7:3 ratio).
Effectiveness of Mobile Health-Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of Randomized Controlled Trials.
JMIR Serious Games
January 2025
School of Nursing, Jilin University, Changchun, China.
Background: Gamification refers to using game design elements in nongame contexts. Promoting physical activity (PA) through gamification is a novel and promising avenue for improving lifestyles and mitigating the advancement of cardiovascular diseases (CVDs). However, evidence of its effectiveness remains mixed.
View Article and Find Full Text PDFEstimation of Diagnostic Test Accuracy Without Gold Standards.
Stat Med
February 2025
Department of Biostatistics and Beijing International Center for Mathematical Research, Peking University, Beijing, China.
The ideal evaluation of diagnostic test performance requires a reference test that is free of errors. However, for many diseases, obtaining such a "gold standard" reference is either impossible or prohibitively expensive. Estimating test accuracy in the absence of a gold standard is therefore a significant challenge.
View Article and Find Full Text PDFA Varying-Coefficient Additive Hazard Model for Recurrent Events Data.
Stat Med
February 2025
Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore.
The additive hazard model, which focuses on risk differences rather than risk ratios, has been widely applied in practice. In this paper, we consider an additive hazard model with varying coefficients to analyze recurrent events data. The model allows for both varying and constant coefficients.
View Article and Find Full Text PDFEnhancing Functional Breast Imaging: A sCMOS Camera-Based Lock-in Implementation for Dynamic Tomography.
J Biophotonics
January 2025
The College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China.
Diffuse optical tomography (DOT) enables the in vivo quantification of tissue chromophores, specifically the discernment of oxy- and deoxy-hemoglobin (HbO and HbR, correspondingly). This specific criterion is useful in detecting and predicting early-stage neoadjuvant breast cancer treatment response. To address the issues of the limited channels in the fiber-dependent breast DOT system and limited signal-to-noise ratio in the camera-dependent systems, we hereby present a camera-based lock-in detection scheme to achieve dynamic DOT with improved SNR, which adopted orthogonal frequency division multiplexing technology.
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