Quick Literature Updates Ep 24

Hello, Pediatrics, your Drew family. I'm Em Gohri from Cincinnati Children's Hospital Medical Center. And today our team is going to deliver the articles that you should know about. We have three papers today but don't have much time. So let's start. Our first paper titled, Pectus Bar Dislocation, comparison between three different stabilization techniques adopted in a single center by Donati et al. This paper is summarized by Lizzie Lee, a physician associate by profession and a member of our team here at Cincinnati Children's, dedicated to creating content for pediatric surgery. This was an observational perspective study in Italy from 2013 to 2022 on 468 patients around 15 years old. The surgeons placed 733 bars total and they wanted to figure out the best technique for preventing the bar from dislocating. Dislocation is when a bar rotates more than 30 degrees out of place. So what do they find? Bridge fixation was significantly more stable than single bar fixation. None of the patients with bridge fixation had dislocated bars compared to those who underwent the single bar technique. This means that bridge fixation is the best for preventing bar dislocation in tectus excavatum patients. Our second paper is, applying an explainable machine learning model, might reduce the number of negative appendectomies in pediatric patients with a high probability of acute appendicitis by males et al. And this paper is summarized by Carlos Columga. He is a pediatric surgeon from Mexico and collaborates with us to produce these article reviews. Researchers from the University of Split have developed a machine learning model with the goal of accurately identifying appendicitis cases while minimizing unnecessary surgery. They did this by garnering data from 551 pediatric patients who underwent appendectomy and using their clinical laboratory and anthropometric information to train their machine learning model. Their best performing model achieved an impressive 99.7% sensitivity in identifying appendicitis cases, with a specificity that could potentially help reduce up to 17% of the negative appendectomies in high risk patients. And once they're up to a task, it can also differentiate between complicated and uncomplicated appendicitis with a high degree of accuracy. And most importantly, it pulls this off by using readily available clinical unlab data without using any advanced imaging. Let's move to the last paper of the day. A trans-cistic, laparoscopic common-vile duct exploration for pediatric patients with chaletic lathiasis, a multi-center study by Rao et al. This paper is summarized by Cecilia Hihanna. She's one of the previous research fellows at Cincinnati Children's Hospital. This is a multi-center research-spective study that in the US from 2018 to 2023. Under aim was to compare patients with suspected clinical unlab biases that underwent a trans-cistic laparoscopic common-vile duct exploration versus those who underwent ERCP first. They got 252 patients. 156 in group 1, the trans-cistic laparoscopic common-vile duct exploration, and 96 in group 2 patients who underwent ERCP first. And what they found is that patients with group 1 had significantly less complication rates and lower length of state. So it seems that a tempting trans-cistic laparoscopic common-vile duct exploration may benefit our patients.