Background: There is a big gap between theory and real clinical practice with respect to the structure of clinical laboratory medicine (CLM) education in China. An integrated teaching method is urgently required, to improve student competency and prepare students to deal with complex challenges in the working environment.
Methods: A total of 122 fourth-year CLM students studying at Hubei University between 2018 and 2019 were randomly assigned to a traditional teaching methods group or a problem-based learning (PBL) group. In the PBL group students were instructed to exchange their thoughts, identify information gaps, rehearse and perform simulated clinical scenarios, and incorporate the new information into cases in small groups. Theory tests, questionnaires, and clinical performance assessments were used to evaluate the effectiveness of PBL and compare it with that of traditional teaching methods.
Results: PBL resulted in significantly better theory test scores, better student feedback scores, and clinical performance assessments, and a higher rate of satisfaction among students and teachers.
Conclusion: PBL is an effective way to help CLM students develop comprehensive abilities to deal with real clinical laboratory work. It is a promising education method and should be generalized to all subtypes of clinical laboratory curriculums in the future.
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http://dx.doi.org/10.1016/j.cca.2020.08.037 | DOI Listing |
Ann Med
December 2025
Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Background: Update, the link between HIV infection and abnormal glucose metabolism (AGM) is still unclear. This study aims to investigate the impact of HIV infection on AGM, including insulin resistance (IR), impaired fasting glucose (IFG), and diabetes mellitus (DM).
Methods: A multicenter case-control study was conducted in Zhejiang province, China.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Importance: Baseline cerebral microbleeds (CMBs) and APOE ε4 allele copy number are important risk factors for amyloid-related imaging abnormalities in patients with Alzheimer disease (AD) receiving therapies to lower amyloid-β plaque levels.
Objective: To provide prevalence estimates of any, no more than 4, or fewer than 2 CMBs in association with amyloid status, APOE ε4 copy number, and age.
Design, Setting, And Participants: This cross-sectional study used data included in the Amyloid Biomarker Study data pooling initiative (January 1, 2012, to the present [data collection is ongoing]).
Blood
January 2025
IDIBAPS, Barcelona, Spain.
Previous studies have reported that chronic lymphocytic leukemia (CLL) shows a de novo chromatin activation pattern as compared to normal B cells. Here, we explored whether the level of chromatin activation is related to the clinical behavior of CLL. We identified that in some regulatory regions, increased de novo chromatin activation is linked to clinical progression whereas, in other regions, it is associated with an indolent course.
View Article and Find Full Text PDFJAMA Psychiatry
January 2025
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Importance: Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology.
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