Scot Med J
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Pressured healthcare resources make risk stratification and patient prioritisation fundamental issues for the investigation of colorectal cancer (CRC) in symptomatic patients. The present study uses machine learning algorithms and decision strategies to improve the appropriate use of colonoscopy. ⋯ MLA-derived decision strategies that account for patient and referrer risk preference reduce colonoscopy demand and carry net clinical benefit compared to default colonoscopy strategies.
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To assess the feasibility of performance enhancement coaching (PEC) for newly appointed Urology registrars (ST3s), specifically: whether the concept appealed, and which areas beyond technical skills acquisition were felt to be most relevant or useful. ⋯ The concept of PEC is acceptable to ST3 Urology trainees, with particular interest in techniques to mitigate negative self-talk and autonomic modulation techniques. Existing barriers to coaching for the surgical community would need to be addressed in designing an acceptable coaching programme.
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To systematically synthesize existing reported literature calculating the carbon footprint (CFP) of urological surgical practice and identify opportunities for improving the environmental impact of urology surgical practice. ⋯ In conclusion, although minimally invasive (including robotic approaches) and endoscopic surgeries offer significant opportunities to improve healthcare we do need to consider the environmental impact. However, there is a paucity of good-quality literature to guide urological surgical practice to reduce the CFP and improve sustainability.
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Studies in recent years have shown that ribosome-binding protein-1 (RRBP1) is expressed at high rates in many cancers and that it may be a potential prognostic biomarker. The objective of the present study is to determine the RRBP1 expression level in prostatic carcinoma and neighboring non-neoplastic prostate tissue, the relationship between its expression level with prognostic factors, and the role of RRBP1 in the development of prostate cancer. ⋯ We found out that RRBP1 was expressed at higher rates in patients with high GS and advanced-stage patients. This result indicated that RRBP1 expression may be important in predicting the prognosis of prostate carcinoma.