Newsletter
Every new paper in this field, in your inbox.
A dynamic survival prediction model for gastric neuroendocrine carcinoma (GNEC) was developed using machine learning and conditional survival (CS) analysis. Data from 654 patients were split into training and validation sets. The CS model demonstrated improved 5-year survival probabilities, rising from 48% at diagnosis to…
A predictive nomogram was developed to assess the risk of postoperative complications in gastric cancer patients undergoing robotic-assisted radical gastrectomy. The study analyzed data from 636 patients across two cohorts and identified five independent risk factors: tumor diameter, TNM stage III, ASA classes I and…
A systematic review and network meta-analysis identified eight effective interventions for preventing postoperative esophageal stenosis following endoscopic resection of superficial cancer. Notable approaches included the combination of polyglycolic acid with a steroid and botulinum toxin. These interventions also led to significant reductions in the number…
Analysis reveals a strong correlation between tumor-stroma ratio (tsr) and peritoneal metastasis (pm) in gastric cancer patients. The study included 640 patients across several cohorts, establishing a diagnostic model integrating tsr with CA125, CA724, and Borrmann type. The model demonstrated robust predictive capabilities, achieving an…
Preoperative circulating tumor DNA (ctDNA) analysis shows significant prognostic value in patients with esophageal squamous cell carcinoma (ESCC) undergoing neoadjuvant chemotherapy followed by surgery. Among 25 patients, those with ctDNA detected post-treatment faced a recurrence-free survival rate of only 8% at 36 months, compared to…
Over the past 20 years, an analysis of 182 randomized controlled trials (RCTs) on gastroesophageal reflux disease and hiatal hernia highlighted that over 86.7% exhibited significant research waste. The majority of trials were drug-related, primarily conducted in North America and Asia, with deficiencies found in…
A novel nomogram has been developed to predict postoperative pneumonia risk after esophageal endoscopic submucosal dissection (ESD). In a cohort of 492 patients, the incidence of pneumonia was 18.6%. Key predictive factors included female sex, older age, low serum albumin levels, prolonged operative duration, muscular…
Analysis of 6,400 esophageal adenocarcinoma patients revealed that 51% experienced tumor downstaging after neoadjuvant chemoradiation, with complete downstaging noted in 5%. Downstaging correlated with a 31% and 17% reduced risk of death compared to disease progression and stable staging, respectively. Additionally, robotic-assisted minimally invasive esophagectomy…
A risk stratification model for surgical adverse events (SAEs) in minimally invasive esophagectomy (MIE) was developed and validated using data from 747 patients. The model identified key risk factors, including chronic obstructive pulmonary disease and low albumin levels, achieving areas under the curve of 0.889…
A study established a deep convolutional neural network (DCNN) system that significantly improved diagnostic accuracy for early gastric cancer (EGC). In independent tests, the model achieved an area under the curve (AUC) of 0.917 and sensitivity of 93.38% for image datasets, while video tests showed…
