A scoring system based on seven significant independent prognostic factors, including age, comorbidity, gastrectomy type, complications, cancer stage, and resection status, was developed and validated to predict 1-year mortality in patients with gastric cancer undergoing gastrectomy. This system demonstrated high sensitivity and specificity, aiding in selecting appropriate care planning strategies for these patients. Research Support, […]
Category: General Surgery
Scoring Systems for Predicting Outcomes of Acute Lower Gastrointestinal Bleeding
The oakland and Glasgow-Blatchford scores demonstrated excellent performance in predicting severe LGIB, need for blood transfusion, and mortality, outperforming the AIMS65 score. Hemostatic interventions and rebleeding prediction by all scores were suboptimal. These results suggest Glasgow-Blatchford score as an alternative for risk stratification in patients with acute lower GI bleeding. Research Support, Non-U.S. Gov’t by […]
Transferability of Laparoscopic Surgical Skills to Robot-Assisted Surgery
Transfer of technical surgical skills from laparoscopic to robot-assisted surgery is feasible and efficient, facilitating combined training and credentialing. However, no evidence supports skill transfer from open to robot-assisted surgery. Recommendations for future studies aim to enhance comparability and significance in assessing skill transfer across surgical modalities. Meta-Analysis by Schmidt MW, Fan C (…) Kowalewski […]
Effectiveness of Esophageal Pull-Down Technique in Achalasia
Esophageal pull-down technique significantly improves outcomes in end-stage achalasia compared to classical laparoscopic Heller-Dor myotomy. Treatment failure rates were significantly lower in the pull-down technique group, confirming its efficacy in challenging cases. This technique shows promise in enhancing treatment success for difficult-to-treat achalasia patients with a sigmoid-shaped esophagus. Journal Article by Nezi G, Forattini F […]
Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma
Researchers developed and validated machine learning-based predictive models for lymph node metastasis (LNM) in intrahepatic cholangiocarcinoma (ICC) using clinicopathological data from 345 patients. The study used six machine learning algorithms, identifying the Extreme Gradient Boosting (XGB) model as the best, with an average area under the curve (AUC) of 0.908. Factors such as alcoholic liver […]
Impact of Repeated EGD at Specialized Center on Surgical Strategy for Gastroesophageal Cancer
A multicenter retrospective study evaluated the benefits of repeating esophagogastroduodenoscopy (EGD) at specialized esophagogastric cancer (EGC) centers in Denmark before gastric and esophageal cancer surgery. Among 953 patients who underwent both initial EGD and EGD at referral to a specialized center, 644 cases (68%) lacked sufficient preoperative tumor information from the initial EGD, and 113 […]
Enhancing Diagnosis of Acute Appendicitis: Combined Modified Alvarado Score and Ultrasound Study
A prospective study combines ultrasound with the Modified Alvarado Score (MAS) for acute appendicitis diagnosis. Among 55 patients undergoing appendectomy, the combined MAS demonstrated high sensitivity (98.18%) and accuracy (89.09%), outperforming MAS and ultrasound alone. This approach, requiring no additional financial burden, presents a promising alternative to CT/MRI imaging, especially in resource-limited settings, warranting further […]
Postoperative Mortality Among Patients in Ethiopia
A systematic review and meta-analysis examined postoperative mortality in Ethiopia, revealing a pooled mortality rate of 4.53% (95% CI: 3.70-5.37). Significant factors associated with increased mortality included an American Society of Anesthesiologists score of ≥III (AOR: 2.45, 95% CI: 2.02-2.96), age ≥65 years (AOR: 3.03, 95% CI: 2.78-3.31), and comorbidity (AOR: 3.28, 95% CI: 1.91-5.63). […]
Artificial Intelligence for Predicting Lymph Node Metastases in Early-Stage Colorectal Cancer
Artificial intelligence models demonstrated high accuracy levels in predicting lymph node metastasis in early-stage colorectal cancers, outperforming traditional clinical guidelines. With models such as support vector machine and deep learning, there is potential for refining clinical decisions and improving outcomes in this critical area of cancer treatment. Journal Article by Thompson N, Morley-Bunker A (…) […]
Effectiveness of Micronized Purified Flavonoid Fraction in Posthemorrhoidectomy Period
In this open-label randomized trial, researchers assessed the efficacy of micronized purified flavonoid fraction in reducing posthemorrhoidectomy complications. Fifty patients who underwent hemorrhoidectomy were divided into two groups: a control group receiving standard care and a study group receiving standard care plus micronized purified flavonoid fraction. The study group experienced significantly lower rates of thrombosis […]