# Quick Literature Updates Ep 24 — GCMD Library We’re back with 24th episode of "Quick Literature Updates" the podcast series that delivers the latest updates in pediatric surgery literature in a quick and digestible format. In each episode, we review articles covering the most interesting and relevant topics in the field.

These articles are either chosen by JPS editors or our collaborators. We present these reviews as short news pieces with a summarization of key points.

Whether you're a trainee, attending, or an advanced medical professional, tune in to our podcast for a dose of medical knowledge in every episode. Stay up to date on the latest trends and advancements in pediatric surgery with "Quick Literature Updates".

Host: Em Gootee

NCBI - WWW Error Blocked Diagnostic

Donati F, Cipriani MS, Pistorio A, Guerriero V, Mattioli G, Torre M. Pectus Bar Dislocation: Comparison Between Three Different Stabilization Techniques Adopted in a Single Centre. J Pediatr Surg. 2024 Oct;59(10):161591. doi: 10.1016/j.jpedsurg.2024.05.021. Epub 2024 Jun 4. PMID: 38914509.

NCBI - WWW Error Blocked Diagnostic

Males I, Boban Z, Kumric M, Vrdoljak J, Berkovic K, Pogorelic Z, Bozic J. Applying an explainable machine learning model might reduce the number of negative appendectomies in pediatric patients with a high probability of acute appendicitis. Sci Rep. 2024 Jun 4;14(1):12772. doi: 10.1038/s41598-024-63513-x. PMID: 38834671; PMCID: PMC11150468.

NCBI - WWW Error Blocked Diagnostic

Rauh J, Dantes G, Wallace M, Collings A, Sanin GD, Cambronero GE, Bosley ME, Ganapathy AS, Patterson JW, Ignacio R, Knod JL, Slater B, Callier K, Livingston MH, Alemayehu H, Dukleska K, Scholz S, Santore MT, Zamora IJ, Neff LP. Transcystic Laparoscopic Common Bile Duct Exploration for Pediatric Patients with Choledocholithiasis: A Multi-Center Study. J Pediatr Surg. 2024 Mar;59(3):389-392. doi: 10.1016/j.jpedsurg.2023.10.046. Epub 2023 Oct 21. PMID: 37957103.
Type: video · 4 min · posted 2025-11-12 Canonical: https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235 ## Chapters - [0:16](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=16) Pectus Bar Stabilization Techniques - [1:50](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=110) Machine Learning for Appendicitis Diagnosis - [3:13](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=193) Transcystic CBD Exploration vs ERCP ## Statements - "Study conducted in Italy from 2013 to 2022 on 468 patients around 15 years old with pectus excavatum" — Lizzie Lee (epidemiological) [1:03](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=63) - "Surgeons placed 733 bars total across the patient cohort" — Lizzie Lee (epidemiological) [1:13](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=73) - "Bar dislocation is defined as rotation more than 30 degrees out of place" — Lizzie Lee (clinical) [1:21](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=81) - "Bridge fixation was significantly more stable than single bar fixation" — Lizzie Lee (clinical) [1:28](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=88) - "None of the patients with bridge fixation had dislocated bars compared to those who underwent the single bar technique" — Lizzie Lee (clinical) [1:33](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=93) - "Bridge fixation is the best technique for preventing bar dislocation in pectus excavatum patients" — Lizzie Lee (clinical) [1:39](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=99) - "Machine learning model developed by University of Split researchers aims to accurately identify appendicitis while minimizing unnecessary surgery" — Carlos Colunga (clinical) [2:14](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=134) - "Model trained on data from 551 pediatric patients who underwent appendectomy using clinical, laboratory, and anthropometric information" — Carlos Colunga (epidemiological) [2:24](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=144) - "Best performing model achieved 99.7% sensitivity in identifying appendicitis cases" — Carlos Colunga (clinical) [2:37](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=157) - "Model specificity could potentially help reduce up to 17% of negative appendectomies in high risk patients" — Carlos Colunga (clinical) [2:37](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=157) - "Model can differentiate between complicated and uncomplicated appendicitis with high accuracy" — Carlos Colunga (clinical) [2:54](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=174) - "Model uses readily available clinical and lab data without requiring advanced imaging" — Carlos Colunga (clinical) [2:54](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=174) - "Multi-center retrospective study conducted in the US from 2018 to 2022 on pediatric choledocholithiasis" — Cecilia Gigena (epidemiological) [3:34](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=214) - "Study compared transcystic laparoscopic common bile duct exploration versus ERCP-first approach" — Cecilia Gigena (clinical) [3:34](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=214) - "Study included 252 patients total: 156 in transcystic laparoscopic CBD exploration group and 96 in ERCP-first group" — Cecilia Gigena (epidemiological) [3:53](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=233) - "Patients in transcystic laparoscopic CBD exploration group had significantly lower complication rates" — Cecilia Gigena (clinical) [4:02](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=242) - "Patients in transcystic laparoscopic CBD exploration group had lower length of stay" — Cecilia Gigena (clinical) [4:02](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=242) - "Attempting transcystic laparoscopic common bile duct exploration may benefit pediatric patients with choledocholithiasis" — Cecilia Gigena (opinion) [4:16](https://library.globalcastmd.com/watch/quick-literature-updates-ep-24-11235?t=256) ## Transcript Hello pediatric surgery family, I'm Em Gdy from Cincinnati Children's Hospital Medical Center, and today our team is gonna deliver the articles that you should know about. We have 3 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 Donnati 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 did 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 pectus 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 at all. And this paper is summarized by Carlos Colunga. 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 negative appendectomies in high risk patients. And when set 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 and lab data without using any advanced imaging. Let's move to the last paper of the day. Transcystic laparoscopic common bile duct exploration for pediatric patients with cholelithiasis, a multi-center study by Rao et al. This paper is summarized by Cecilia Ina. She's one of the previous research fellows at Cincinnati Children's Hospital. This is a multi-center retrospective study done in the US from 2018 to 2022, and their aim was to compare patients with suspected clinicalliliasis that underwent a transcystic laparoscopic common bile duct exploration versus those who underwent ERCP first. They gathered 252 patients, 156 in group one, the Tracystic laparoscopic common bile duct exploration. And 96 in group two patients who underwent an ERCP first and what they found is that patients in group one had significantly less complication rates and lower length of stay. So it seems that attempting a transcystic laparoscopic common bile duct exploration may benefit our patients. Thank you for listening. Please check the link in the description below to read each paper. We hope you liked this episode. Please follow Stay Current MD on social media, give us a rating, and subscribe to our YouTube channel. And don't forget to download the Stay Current app on the App Store or Play Store for tons of content. --- Not medical advice · citation policy: https://library.globalcastmd.com/ai