Relative Efficacy of Tegaserod in a Systematic Review and Network Meta-analysis of Licensed Therapies for Irritable Bowel Syndrome with Constipation
Abstract
Irritable bowel syndrome (IBS) is a chronic functional bowel disorder affecting 1 in 10 people and associated with poor psychological health, reduced quality of life, and increased health care expenditure.1 The etiology is complex and incompletely understood.2 Approximately one-third of patients have IBS with constipation (IBS-C),1 for which there are licensed therapies available in the United States. We summarized comparative efficacy of these in a recent network meta-analysis of randomized controlled trials (RCTs).3 Tegaserod, a 5-hydroxytryptamine-4 receptor agonist, approved by the Food and Drug Administration (FDA) for IBS-C, was withdrawn in 2007 after a small excess number of cerebrovascular and cardiovascular ischemic events in patients taking the drug.4 However, since our network meta-analysis, it has been reintroduced in the United States. It is therefore important to understand its efficacy relative to other available licensed therapies for IBS-C.
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
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
- Toxicity of nanomaterials
- The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies
- Halogen bonding (X‐bonding): A biological perspective
- Biofilm formation at the air–liquid interface by the Pseudomonas fluorescens SBW25 wrinkly spreader requires an acetylated form of cellulose
- Opioid Activation of Toll-Like Receptor 4 Contributes to Drug Reinforcement
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.