Attrition in randomized controlled trials for pediatric chronic conditions.

Loss to follow-up in a randomized controlled trial study for pediatric weight management (EPOC)

BACKGROUND Attrition is a serious problem in intervention studies. The current study analyzed the attrition rate during follow-up in a randomized controlled pediatric weight management program (EPOC study) within a tertiary care setting. METHODS Five hundred twenty-three parents and their 7-13-year-old children with obesity participated in the randomized controlled intervention trial. Follow-...

Comparing the Efficacy of Propranolol+ Cinarizine and Propranolol+Placebo in Controlling Pediatric Migraine Headaches: A Randomized Controlled Trial

Background and purpose: Numerous drugs have been suggested to control pediatric migraine headaches, but there are limited numbers of randomized controlled trials to prove their efficacy. The aim of this study was to compare the efficacy of Propranolol + Cinnarizine and Propranolol + placebo in controlling migraine headaches in Children. Materials and methods: A double-blind, placebo-controlled...

Predictors of Short- and Long-Term Attrition From the Parents as Agents of Change Randomized Controlled Trial for Managing Pediatric Obesity.

INTRODUCTION Attrition in pediatric weight management is a substantial problem. This study examined factors associated with short- and long-term attrition from a lifestyle and behavioral intervention for parents of children with overweight or obesity. METHOD Fifty-two families with children ages 6 to 12 years old and body mass index at or above the 85th percentile participated in a randomized...

Addressing Attrition Bias in Randomized Controlled Trials: Considerations for Systematic Evidence Reviews

Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial.

BACKGROUND Attrition, which is virtually ubiquitous in randomized controlled clinical trials, introduces problems of increased bias and reduced statistical power. Although likelihood-based statistical models such as mixed-effects models can accommodate incomplete data, the assumption of ignorable attrition is usually required for valid inferences. PURPOSE In an effort to make the ignorability...