Newsletter
Best Papers in General Surgery
The five that matter, every day.
A novel machine learning model has been developed by researchers to predict survival in metastatic pancreatic neuroendocrine tumors (PNETs), a condition traditionally associated with poor prognosis. Utilizing data from 1430 patients, the model employed the extreme gradient boosting (XGBoost) algorithm and integrated ten prognostic factors.…
In the past five years, research highlights advancements in avoiding complications from endoscopic retrograde cholangiopancreatography (ERCP), particularly post-ERCP pancreatitis (PEP). Key findings include identifying pancreatic steatosis as a novel risk factor and employing machine learning models for PEP prediction. Prophylactic measures have expanded to encompass…
Evidence-based perioperative blood management strategies significantly enhance patient outcomes by addressing anemia and minimizing blood loss. Early identification and correction of anemia lead to fewer transfusions, reduced complications, and improved patient safety. Both liberal and restrictive transfusion thresholds are evaluated, emphasizing the importance of tailored…
A systematic review and meta-analysis of 32 studies involving 2,681 patients found that the endoscopic functional luminal imaging probe (endoflip) significantly reduced the distensibility index (DI) following myotomy, with a mean difference of -3.72. Additionally, the Eckardt score, a measure of treatment effectiveness, decreased by…
The study reveals that the risk of post-colonoscopy colorectal cancer (PCCRC) primarily hinges on endoscopist performance rather than the presence of high-risk polyps. An analysis of data from 239,217 individuals found no significant association between high-risk polyps and PCCRC risk. Instead, higher adenoma detection rates…
A novel classification for ileocolic Crohn's disease revealed that 56.8% of patients exhibit complex cases, linked to higher blood loss, prolonged hospital stays, and increased need for open surgery. Complex cases also experienced more emergencies and worse surgical outcomes compared to simpler forms. The classification…
A novel machine-learning model, particularly the random forest algorithm, distinguishes between benign and malignant gallbladder polyps, utilizing clinical and ultrasound data from 1,050 patients. Key predictive factors identified include polyp size, age, fibrinogen levels, and presence of stones. The model achieved impressive performance metrics with…
A clinical trial involving 84 liver surgery patients revealed that systemic administration of indocyanine green (ICG) significantly reduced total bilirubin concentration in postoperative drainage fluid, compared to historical controls. On postoperative day three, the intervention group showed a mean difference of -1.11 mg/dl (p
A systematic review reveals that multimodal prehabilitation programs significantly enhance functional capacity and reduce postoperative complications for patients undergoing major gastrointestinal cancer surgeries. These programs lead to shorter hospital stays and improved recovery, particularly in colorectal surgeries. However, the efficacy varies by cancer type, and…
A study found that providing surgical clinicians with monthly feedback featuring peer comparisons and patient-reported outcomes significantly improved adherence to opioid prescribing guidelines from 57.2% to 71.8%. Following the intervention, adherence rates continued to rise, reaching 74.4% at follow-up. Notably, the greatest improvements occurred in…
