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Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.
Objective: We aim to explore the differences in complication rates in endoscopic versus open transcervical treatment of Zenker diverticulum.
Study Design: Retrospective Cohort Study from January 1, 2015 to December 31, 2023.
Setting: Queries of the TriNetX database's United States Collaborative Network.
Scand J Gastroenterol
January 2025
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Xiamen Branch, Xiamen, China.
Background: Evaluate the clinical significance of esophagogastric junction (EGJ) morphology and esophagogastric junction contractile integral (EGJ-CI) in refractory gastroesophageal reflux disease (RGERD) patients.
Methods: From June 2021 to June 2023, 144 RGERD patients underwent comprehensive evaluation, recording symptom scores, demographic data. GERD classification (NERD or RE, A-D) was based on endoscopic findings.
Int J Surg
January 2025
Department of Surgical Oncology, Fourth Affiliated Hospital of China Medical University.
Background: Several autoimmune diseases (ADs) are considered risk factors for gastrointestinal (GI) cancers. This study pooled and appraised the evidence associating ADs to GI cancer risks.
Methods: Three databases were examined from initiation through 26 January 2024.
EClinicalMedicine
October 2024
Centre for Psychedelic Research, Division of Psychiatry, Department Brain Sciences, Imperial College London, United Kingdom.
Background: Psilocybin therapy (PT) produces rapid and persistent antidepressant effects in major depressive disorder (MDD). However, the long-term effects of PT have never been compared with gold-standard treatments for MDD such as pharmacotherapy or psychotherapy alone or in combination.
Methods: This is a 6-month follow-up study of a phase 2, double-blind, randomised, controlled trial involving patients with moderate-to-severe MDD.
Hum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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