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http://dx.doi.org/10.1136/bmj.h4256 | DOI Listing |
Nutrients
December 2024
Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Background/objectives: Gut microbiota interacts with nutrients, which may be relevant to assigning a microbial signature to colorectal cancer (CRC). We aim to evaluate the potential of gut microbiota combined with dietary habits in the early detection of pathological findings related to CRC in the course of a screening program.
Methodology: The colonoscopy performed on 152 subjects positive for fecal occult blood test showed that 6 subjects had adenocarcinoma, 123 had polyps, and 23 subjects had no pathological findings.
PLoS One
January 2025
Center for Health Services Research, Regenstrief Institute Inc, Indianapolis, IN, United States of America.
Objectives: In two large university affiliated healthcare systems, we examined trends in colorectal cancer (CRC) screening both prior to and during the COVID-19 pandemic to compare the trends in non-invasive screening tests and colonoscopy.
Materials And Methods: In this retrospective time-trend analysis, we obtained the numbers of colonoscopies and non-invasive tests performed monthly during the pandemic and the year prior to it. We obtained colonoscopy data from five endoscopy units with the indication determined by dual independent review.
BMJ Case Rep
January 2025
Department of Digestive Health, Gold Coast University Hospital, Gold Coast, Australia, Gold Coast Hospital and Health Service, Southport, Queensland, Australia.
Dasatinib is a common treatment for chronic myeloid leukaemia with numerous side effects including gastrointestinal. We report a woman in her 50s who presented with haematochezia, weight loss and a positive faecal occult blood test. She was being treated for chronic myeloid leukaemia with dasatinib without the use of any concurrent medications, including non-steroidal anti-inflammatory drugs.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
January 2025
see Acknowledgments, .
Anticancer Res
January 2025
Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland.
Background/aim: This study evaluated the diagnostic accuracy (DA) for colorectal adenomas (CRA), screened by fecal immunochemical test (FIT), using five artificial intelligence (AI) models: logistic regression (LR), support vector machine (SVM), neural network (NN), random forest (RF), and gradient boosting machine (GBM). These models were tested together with clinical features categorized as low-risk (lowR) and high-risk (highR).
Patients And Methods: The colorectal neoplasia (CRN) screening cohort of 5,090 patients included 222 CRA patients and 264 non-CRA patients.
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