Comparing the efficacy of different proton pump inhibitor dosing regimens for the treatment of gastroesophageal reflux disease: a systematic review and meta-analysis.

Several proton pump inhibitor (PPI) dosing regimens that vary by strength and frequency (once [Qday] or twice [BID] daily) are available to treat gastroesophageal reflux disease (GERD). We performed an updated systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the impact of various PPI regimens on esophageal healing and GERD and heartburn symptoms. To identify relevant studies, we searched EMBASE and PubMed in January 2023, which yielded 1381 records.

Development of a Web-Based Interactive Tool for Visualizing Breast Cancer Clinical Trial Tolerability Data.

Purpose: Longitudinal patient tolerability data collected as part of randomized controlled trials are often summarized in a way that loses information and does not capture the treatment experience. To address this, we developed an interactive web application to empower clinicians and researchers to explore and visualize patient tolerability data.

Methods: We used adverse event (AE) data (Common Terminology Criteria for Adverse Events) and patient-reported outcomes (PROs) from the NSABP-B35 phase III clinical trial, which compared anastrozole with tamoxifen for breast cancer-free survival, to demonstrate the tools.

Applications of wearable activity monitors for prostate cancer survivors: A systematic scoping review.

Background: Wearable technology is used to monitor and motivate physical activity (PA) and provides continuous, objective PA and sleep data outside the clinical setting. We reviewed the literature to understand how wearables are integrated into prostate cancer (PC) investigations in order to identify current practices, gaps, and research opportunities.

Methods: We conducted a literature search for articles using wearables, among PC survivors published between 2012 and 2022.

Dynamic Risk Prediction of Treatment Discontinuation Using Patient-Reported Outcomes Data in the Phase III NSABP B-35 Trial.

Unlabelled: Predicting an individual's risk of treatment discontinuation is critical for the implementation of precision chemoprevention. We developed partly conditional survival models to predict discontinuation of tamoxifen or anastrozole using patient-reported outcome (PRO) data from postmenopausal women with ductal carcinoma in situ enrolled in the NSABP B-35 clinical trial. In a secondary analysis of the NSABP B-35 clinical trial PRO data, we proposed two models for treatment discontinuation within each treatment arm (anastrozole or tamoxifen treated patients) using partly conditional Cox-type models with time-dependent covariates.