Predicting survival in locally advanced gastric cancer using prognostic factors - neoadjuvant rectal score and downstaging depth score.

Background: Clinical prediction models are needed to accurately predict the prognosis of patients with gastric cancer who have received neoadjuvant therapy and to determine the best treatment strategies. The aim of this study is to determine the role of two prognostic factors, the neoadjuvant rectal (NAR) score and the downstaging depth score (DDS), in predicting survival in patients with gastric cancer who received neoadjuvant therapy and underwent curative gastrectomy.

Methods: We reviewed the medical records of 129 patients who had been diagnosed with primary gastric cancer and underwent radical gastrectomy after receiving neoadjuvant therapy.

Machine learning in predicting gastric cancer survival Presenting a novel decision support system model.

Background: Gastric cancer is the 4th most frequent cause of cancer-related deaths, with a 5-year survival rate of less than 40%. In recent years, many artificial intelligence applications have been used in the field of gastric cancer through their effective computing and learning ability. In this study, we aim to develop a software that can accurately detect overall survival in gastric cancer cases with the help of artificial intelligence and machine learning.

Determination of risk factors for conversion from laparoscopic to open appendectomy in patients with acute appendicitis.

Background: Acute appendicitis is the most common cause of surgical emergencies. It can be difficult to distinguish cases of acute appendicitis that should be managed by laparoscopic appendectomy (LA) from those that should be managed by open surgery. This study aimed to prevent the inappropriate choice of technique and associated complications by identifying potential risk factors for conversion from laparoscopic to open appendectomy (OA) at the time of initial surgical assessment.

Preoperative ALBI grade predicts mortality in patients undergoing curative surgery for pancreatic head cancer.

The clinical significance of the albumin-bilirubin (ALBI) grade in patients with pancreatic head cancer (PHC) undergoing surgery is unknown. Preoperative ALBI grade is believed to be influenced by tumor burden. This study aimed to develop and validate the ALBI grade as a preoperative prognostic model for predicting the survival of patients with PHC.

Prospective Study on Avoiding Seroma Formation by Flap Fixation After Modified Radical Mastectomy.

Introduction: Seroma development after mastectomy is a common complication. Continued seroma causes increased outpatient visits, repeated aspirations, infection, delayed healing, delayed adjuvant therapy, and increased cost. Various treatments are being attempted to prevent and reduce seroma development.