[This corrects the article DOI: 10.1371/journal.pone.0251491.].
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BMC Nurs
January 2025
Nursing Department, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, 450000, China.
Objective: The objective of this study is to investigate the effect after the application of Failure Model and Effect Analysis (FMEA) in nursing care for patients who have undergone endoscopic submucosal dissection (ESD).
Methods: A cohort of 40 patients who underwent ESD between July and September 2023 were selected as the control group, while 42 patients who underwent ESD between October 2023 and June 2024 after implementing FMEA were selected as the observation group. A multidisciplinary team was established based on the FMEA model to analyze and create a nursing flowchart.
Eur J Med Res
January 2025
Division of Radiology, Saraburi Hospital, Saraburi, Thailand.
Introduction: Stroke-associated pneumonia (SAP) is a major cause of mortality during the acute phase of stroke. The ADS score is widely used to predict SAP risk but does not include 24-h non-contrast computed tomography-Alberta Stroke Program Early CT Score (NCCT-ASPECTS) or red cell distribution width (RDW). We aim to evaluate the added prognostic value of incorporating 24-h NCCT-ASPECTS and RDW into the ADS score and to develop a novel prediction model for SAP following thrombolysis.
View Article and Find Full Text PDFNat Commun
January 2025
Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium.
Large Language Models have demonstrated expert-level accuracy on medical board examinations, suggesting potential for clinical decision support systems. However, their metacognitive abilities, crucial for medical decision-making, remain largely unexplored. To address this gap, we developed MetaMedQA, a benchmark incorporating confidence scores and metacognitive tasks into multiple-choice medical questions.
View Article and Find Full Text PDFAnnu Rev Biomed Data Sci
January 2025
2Departments of Bioengineering and Genetics, Stanford University, Stanford, California, USA.
Tabular medical datasets, like electronic health records (EHRs), biobanks, and structured clinical trial data, are rich sources of information with the potential to advance precision medicine and optimize patient care. However, real-world medical datasets have limited patient diversity and cannot simulate hypothetical outcomes, both of which are necessary for equitable and effective medical research. Fueled by recent advancements in machine learning, generative models offer a promising solution to these data limitations by generating enhanced synthetic data.
View Article and Find Full Text PDFTissue Cell
January 2025
Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine, China. Electronic address:
Background: Colorectal cancer (CRC) is one of the aggressive malignant tumors. Studies have shown that glycolysis promotes the proliferation of colorectal cancer cells and that PYCR2 is involved in cancer progression by affecting cellular glycolysis. In addition, PYCR2 is upregulated in colorectal cancer cell lines and can affect cellular autophagy.
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