Background: The aim of the present trial is to investigate the clinical efficiency of the GERDx device for patients with gastroesophageal reflux disease (GERD).
Materials And Methods: Prospective study evaluating Gastrointestinal Quality of Life Index, symptoms scores, as well as esophageal manometry and impedance-pH-monitoring data at baseline and 3 months after endoscopic full-thickness plication with the GERDx device.
Results: In total, 28 patients underwent the procedure so far. Mean Gastrointestinal Quality of Life Index scores, DeMeester scores, and general and reflux-specific scores improved (P<0.01). Three of 6 patients, who were treated with converted sutures, experienced postoperative complications.
Conclusions: Endoscopic plication using the GERDx device may be effective in improving quality of life and GERD symptoms. Suture length between pledgets and suture material may have an impact on procedure outcomes.
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http://dx.doi.org/10.1097/SLE.0000000000000396 | DOI Listing |
J Pharm Health Care Sci
January 2025
Laboratory of Clinical Pharmacy Education, Research and Education Center for Clinical Pharmacy, School of Pharmacy, Kitasato University, 5-9-1, Shirokane, Minato-ku, Tokyo, 108-8641, Japan.
Background: Pharmaceutical formularies play a crucial role in guiding medication use by balancing clinical effectiveness and cost efficiency. Although formulary implementation has been increasing in Japan, comprehensive evaluations of its impact on both clinical and economic outcomes are limited. This study aimed to assess the effect of introducing an antimicrobial formulary at Yokohama City University Hospital on antibiotic usage and treatment outcomes in intra-abdominal infections.
View Article and Find Full Text PDFCancer Imaging
January 2025
Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia.
True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially available and dramatically increase system sensitivity over conventional AFOV PET/CT. The Siemens Biograph Vision Quadra (Quadra), with an AFOV of 106cm, potentially allows use of significantly lower administered radiopharmaceuticals as well as reduced scan times. The aim of this study was to optimise acquisition protocols for routine clinical imaging with FDG on the Quadra the prioritisation of reduced activity given physical infrastructure constraints in our facility.
View Article and Find Full Text PDFTrials
January 2025
Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.
Background: Phase-3 clinical trials provide the highest level of evidence on drug safety and effectiveness needed for market approval by implementing large randomized controlled trials (RCTs). However, 30-40% of these trials fail mainly because such studies have inadequate sample sizes, stemming from the inability to obtain accurate initial estimates of average treatment effect parameters.
Methods: To remove this obstacle from the drug development cycle, we present a new algorithm called Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator (TAD-SIE) that powers a parallel-group trial, a standard RCT design, by leveraging a state-of-the-art hypothesis testing strategy and a novel trend-adaptive design (TAD).
Parasit Vectors
January 2025
Faculty of Information Technology, Mutah University, Mutah, Jordan.
Background: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology has become increasingly vital. This study explores the application of deep learning to single-cell data clustering, with a particular focus on managing sparse, high-dimensional data.
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