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Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysis.
EClinicalMedicine
January 2025
School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Background: Discrete choice experiments (DCEs) are increasingly used to inform the design of health products and services. It is essential to understand the extent to which DCEs provide reliable predictions outside of experimental settings in real-world decision-making situations. We aimed to compare the prediction accuracy of stated preferences with real-world choices, as modelled from DCE data.
View Article and Find Full Text PDFPredictive models of in-hospital deterioration of Society of Cardiovascular Angiography and Intervention shock stage in patients with acute myocardial infarction initially presenting with stable hemodynamic condition.
Cardiovasc Diagn Ther
December 2024
Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, Suita, Japan.
Background: The Society of Cardiovascular Angiography and Intervention (SCAI) has defined 5 stages of cardiogenic shock (CS). In patients with acute myocardial infarction (AMI) who initially present in stable hemodynamic condition (SCAI CS stage: A or B), CS stages could deteriorate despite therapeutic management. However, deterioration of SCAI CS stages after AMI remains to be fully characterized.
View Article and Find Full Text PDFEstimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features.
BMC Cancer
January 2025
Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Objectives: To construct a prediction model based on deep learning (DL) and radiomics features of diffusion weighted imaging (DWI), and clinical variables for evaluating TP53 mutations in endometrial cancer (EC).
Methods: DWI and clinical data from 155 EC patients were included in this study, consisting of 80 in the training set, 35 in the test set, and 40 in the external validation set. Radiomics features, convolutional neural network-based DL features, and clinical variables were analyzed.
Prediction of post-contrast acute kidney injury by bedside ultrasonography.
BMC Emerg Med
January 2025
Department of Emergency Medicine, Recep Tayyip Erdoğan University Training and Research Hospital, Rize, 53020, Turkey.
Background: The incidence of contrast-induced acute kidney injury (CI-AKI) in the general population ranges from 0.6 to 2.3%, whereas for specific high-risk patients, the incidence can reach more than 30-40%.
View Article and Find Full Text PDFPathological variants in HPV-independent vulvar tumours.
Sci Rep
January 2025
Department of Laboratory Medicine, Clinical Pathology and Genetics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Vulvar cancer is a rare gynaecological disease that can be caused by infection with human papillomavirus (HPV). The mutational frequencies and landscape for HPV-associated and HPV-independent vulvar tumor development are supposedly two distinctly different pathways and more detailed knowledge on target biological mechanisms for individualized future treatments is needed. The study included formalin-fixed paraffin-embedded (FFPE) samples from 32 cancer patients (16 HPV-negative and 16 HPV-associated), treated in Örebro, Sweden from 1988 to 2008.
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