PPI requirements.

Am J Hosp Pharm

Published: June 1979

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Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation leveraging machine learning systems to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates.

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Mucosal integrity and acid sensitivity predict proton pump inhibitor response in patients with heartburn and normal acid exposure.

Dig Liver Dis

January 2025

Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan; Institute of Medical Sciences, Tzu Chi University, Hualien, Taiwan. Electronic address:

Background: Patients with typical reflux symptoms and normal acid exposure time (AET) are classified as either reflux hypersensitivity (RH) or functional heartburn (FH), some of whom respond to proton pump inhibitors (PPIs). We determined if esophageal psychophysiological parameters predict PPI response in symptomatic RH and FH patients.

Methods: We prospectively recruited adults with heartburn diagnosed with RH or FH on 24-h impedance-pH monitoring off PPI.

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Gastroesophageal reflux disease (GERD) affects millions globally, with traditional treatments like proton pump inhibitors (PPIs) and surgical fundoplication presenting challenges such as long-term medication dependency and disturbing long term side effects following surgery. This review explores emerging, alternative therapies that offer less invasive, personalized alternatives for GERD management. Endoscopic approaches, including Stretta therapy, transoral incisionless fundoplication (TIF), and endoscopic full-thickness plication (EFTP), demonstrate promising but also controversial outcomes in symptom relief and reduced acid exposure.

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: This study investigated the potential chemopreventive role of proton pump inhibitor (PPI) use in relation to the occurrence of head and neck cancer (HNC) within a national cohort amid concerns of PPI overprescription. : From a cohort of 1,137,861 individuals and 219,673,817 medical claim records collected between 2005 and 2019, 1677 HNC patients were identified and matched 1:4 with 6708 controls after adjusting for covariates. Odds ratios (ORs) for PPI use and its duration in relation to HNC and its subsites were estimated using propensity score overlap-weighted multivariable logistic regression.

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