The Effects of Physical Activity and Body Fat Mass on Colorectal Polyp Recurrence in Patients with Previous Colorectal Cancer
Sign Up to like & getrecommendations! Published in 2017 at "Cancer Prevention Research"
DOI: 10.1158/1940-6207.capr-17-0065
Abstract: We aimed to identify the effects of physical activity and body composition on colorectal polyp recurrence in patients with previous colorectal cancer. A total of 300 patients were selected randomly from the colorectal cancer survivor… read more here.
Keywords: recurrence; body fat; colorectal cancer; polyp recurrence ... See more keywords
Recurrences of advanced sessile and lateral spreading colorectal adenoma after endoscopic mucosal resection (EMR) thermal ablation versus no adjuvant therapy (RESPECT): a protocol of an international randomized controlled trial
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DOI: 10.1186/s13063-024-07915-2
Abstract: Background Nowadays, large benign lateral spreading lesions (LSLs) and sessile polyps in the colorectum are mostly resected by endoscopic mucosal resection (EMR). A major drawback of EMR is the polyp recurrence rate of up to… read more here.
Keywords: resection; trial; lateral spreading; polyp recurrence ... See more keywords
High levels of triglycerides, apolipoprotein B, and the number of colorectal polyps are risk factors for colorectal polyp recurrence after endoscopic resection: a retrospective study
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DOI: 10.21037/jgo-22-491
Abstract: Background The recurrence of polyps after endoscopic treatment is a difficult problem and there may be an association between blood lipid levels and colorectal polyps, but this is controversial and the aim of this study… read more here.
Keywords: polyp recurrence; number; risk factors; recurrence ... See more keywords
Clinical implications of a machine learning model predicting colorectal polyp recurrence after endoscopic mucosal resection
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DOI: 10.3748/wjg.v31.i22.107197
Abstract: The machine learning model developed by Shi et al for predicting colorectal polyp recurrence after endoscopic mucosal resection represents a significant advancement in the field of clinical gastroenterology. By integrating patient-specific factors, such as age,… read more here.
Keywords: predicting colorectal; machine learning; learning model; gastroenterology ... See more keywords