Subscribe free

Newsletter

General Surgery

Best Papers in General Surgery

The five that matter, every day.

FreeNo spamOne-click unsubscribe
BMC Surg16 Feb 2025

Preoperative NLR and PLR predict colorectal cancer prognosis

Analysis of 1,016 colorectal cancer patients revealed that preoperative neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) serve as significant predictors for long-term outcomes, particularly in anastomotic leakage cases. A cutoff of NLR ≥2.89 and PLR ≥157.62 indicated poor survival prognosis. Kaplan-Meier survival curves demonstrated significantly…

J Clin Exp Hepatol16 Feb 2025

ASAP Score Predicts Recurrence in Hepatocellular Carcinoma Patients

The ASAP score, evaluated in a cohort of 1,239 patients undergoing hepatic resection for hepatocellular carcinoma (HCC), revealed significant prognostic value. A cutoff of 4.8 classified patients into high and low-risk groups, showing that those with higher scores faced significantly greater 5-year recurrence rates (73.9%…

JAMA Surg15 Feb 2025

New Staging System Enhances Prognostication in Colon Cancer

A novel staging system integrating tumor deposits and positive lymph nodes significantly improved overall survival stratification in stage III colon cancer compared to existing AJCC staging. Analysis of 788 institutional and 77,790 national patients revealed increased ROC curve areas and concordance indices, demonstrating better prognostic…

Front Med (Lausanne)15 Feb 2025

Research highlights global trends in necrotizing pancreatitis studies

The analysis of 929 articles on necrotizing pancreatitis revealed China as the leading contributor, followed by the United States and India. Notable findings included a focus on minimally invasive treatments, with key publications in specialized journals like "Pancreatology." Despite increased research efforts over the past…

BMC Surg15 Feb 2025

Surgeons Experience Emotional Distress from Caring for Dying Patients

A systematic scoping review reveals that surgeons face significant emotional turmoil while caring for dying patients and their families. The study, analyzing 26 articles, found that without personalized and timely support, surgeons are at risk of depression, burnout, and substance abuse, impacting patient safety and…

EClinicalMedicine15 Feb 2025

Explainable machine learning model predicts mortality in infected pancreatic necrosis

An explainable machine learning model for predicting 90-day mortality in patients with infected pancreatic necrosis (IPN) has shown promising results. The final model, developed from a cohort of 344 patients, achieved a c-index of 0.863 in internal validation and 0.857 in external validation, outperforming nine…

BMJ Mil Health15 Feb 2025

High prevalence of combat injuries in Ukraine demands better prevention

A qualitative assessment revealed that complex polytrauma is the norm among Ukrainian combatants, with significant injuries such as blast wounds, traumatic brain injuries, and spinal cord trauma prevalent. Limited injury prevention measures were identified, primarily relying on combat body armor. Despite the need, respondents noted…

Ann Surg14 Feb 2025

KRAS mutations in duodenal fluid improve pancreatic cancer detection

KRAS mutations identified in duodenal lavage fluid after secretin stimulation demonstrated a high diagnostic accuracy for detecting resectable pancreatic ductal adenocarcinoma (pdac). With an area Under the Curve (AUC) of 0.934, the method achieved a sensitivity of 83.1% at 100% specificity, significantly outperforming traditional serum…

Ann Surg Oncol14 Feb 2025

Dual-time-point radiomic models enhance prognosis prediction for colorectal liver metastasis

The dual-time-point radiomic models, developed using pre- and post-neoadjuvant therapy MRI features, effectively stratified colorectal liver metastasis patients undergoing surgery. In a study with 100 cases, post-neoadjuvant therapy models showed superior predictive power in overall and disease-free survival compared to pre-neoadjuvant therapy models. Fong score…

Ann Surg Oncol14 Feb 2025

AI framework quantifies clinical influences on posthepatectomy length of stay

An innovative artificial intelligence framework was developed to quantify the impact of clinical factors on posthepatectomy length of stay (LOS), explaining 75% of its variability. The study analyzed 21,039 patients, revealing that clinical influences are significant while nonclinical factors account for the remaining 25%. Notably,…