Analysis of OASIS data produces several types of agency-level (aggregate) reports. This article describes the components of the risk-adjusted and descriptive outcome report.
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Are medical school preclinical tests biased for sex and race? A differential item functioning analysis.
BMC Med Educ
January 2025
University of Minnesota Medical School, 420 Delaware Street SE, Mayo Building, Minneapolis, MN, 55455, USA.
Background: A common practice in assessment development, fundamental for fairness and consequently the validity of test score interpretations and uses, is to ascertain whether test items function equally across test-taker groups. Accordingly, we conducted differential item functioning (DIF) analysis, a psychometric procedure for detecting potential item bias, for three preclinical medical school foundational courses based on students' sex and race.
Methods: The sample included 520, 519, and 344 medical students for anatomy, histology, and physiology, respectively, collected from 2018 to 2020.
A case series on the basic concept and design of removable partial dentures: support and bracing considerations.
BMC Oral Health
January 2025
Department of Removable Prosthodontics, School of Dentistry, Aichi Gakuin University, 2-11 Suemori- dori, Chikusa-ku, Nagoya, Aichi, 464-8651, Japan.
Background: When designing removable partial dentures, maximizing the effectiveness of support and bracing is necessary to minimize denture movement. Therefore, it is essential to emphasize the importance of providing patients with appropriate, safe, and secure removable partial dentures and have clinicians rerecognize the concept and importance of support and bracing. This study aimed to present extension-base removable partial dentures through six specific clinical case series and describe the effect of support and bracing action on denture design, which is essential for denture movement minimization.
View Article and Find Full Text PDFFully automated segmentation and classification of renal tumors on CT scans via machine learning.
BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
Factors contributing to helminth prevalence after repeated mass administration of medicines in Anambra State, Nigeria.
Sci Rep
January 2025
Neglected Tropical Diseases Unit, Anambra State Ministry of Health, Awka, Nigeria.
Over the past decade, Mass Administration of Medicines (MAM) has been a key strategy for controlling schistosomiasis and soil-transmitted helminthiasis (STHs) in Anambra State, Nigeria. This longitudinal study, conducted from 2017 to 2019, evaluated the impact of interventions for controlling schistosomiasis (SCH) and STHs in recipient communities. A total of 1,046 pupils aged 5 to 16 years were enrolled, with Kato-Katz and urine filtration methods used for faecal and urine sample analysis.
View Article and Find Full Text PDFA miniaturized colorimetric-photoacoustic dual-mode device for point-of-care testing of ascorbic acid and ascorbate oxidase.
Anal Chim Acta
March 2025
The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, China. Electronic address:
Background: Real-time and rapid detection of ingredients in food has important significance for food safety. However, traditional detection methods not only require bulky and costly instruments but also are often based on single-mode analysis, limiting their accuracy and applications in point-of-care testing. Herein, an integrated and miniaturized dual-mode device based on colorimetric and photoacoustic (PA) principles is developed, using Au@Ag nanoparticles (Au@AgNPs) as signal probe and ascorbic acid (AA) and ascorbate oxidase (AAO) as analytes.
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