Network meta-analysis of multiple doses of vonoprazan for the treatment of erosive esophagitis
Abstract
Aim: 20 mg of vonoprazan (VPZ20) is recommended in most countries to treat erosive esophagitis (EE). Whether other doses of vonoprazan, such as 5 mg (VPZ5), 10 mg (VPZ10), 20 mg (VPZ20), and 40 mg (VPZ40) are more effective is unknown. Materials & methods: Three databases were electronically searched to identify studies published before November 2021. Network meta-analysis was performed using STATA 14.0. Results: VPZ20 and VPZ40 were comparable to PPI, VPZ5 and VPZ10 in 4- and 8-week healing rates, and this was also detected in patients with refractory EE. All regimens resulted in similar treatment-emergent adverse events (TEAEs). However, VPZ40 ranked first for healing rate and TEAEs; however, VPZ20 ranked worst for TEAEs. Conclusion: Different doses of VPZ are comparable in efficacy and safety, but VPZ40 may be best in both effectiveness and safety.
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
Read the paper
Related studies
- The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks
- Promising Ursolic Acid as a Novel Antituberculosis Agent: Current Progress and Challenges
- Proof of principle concept for the analysis and functional prediction of rare genetic variants in the CYP2C19 and CYP2D6 genes
- Fabrication, characterization, and docking studies of furosemide-loaded nanosponges using the emulsion solvent diffusion method
- The Effect of Concomitant Administration of Proton Pump Inhibitors on the Pharmacokinetics of CDK4/6 Inhibitors in Rats: Implications for the Evaluation of Hepatic and Transporter-Mediated Drug–Drug Interactions
- Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.