Objective To determine the efficacy of low intensity pulsed ultrasonography for healing of fractures. Design Systematic review of randomised controlled trials. Data sources Electronic literature search without language restrictions of CINAHL, Embase, Medline, HealthSTAR, and the Cochrane Central Registry of Controlled Trials, from inception of the database to 10 September 2008. Review methods Eligible studies were randomised controlled trials that enrolled patients with any kind of fracture and randomly assigned them to low intensity pulsed ultrasonography or to a control group. Two reviewers independently agreed on eligibility; three reviewers independently assessed methodological quality and extracted outcome data. All outcomes were included and meta-analyses done when possible. Results 13 randomised trials, of which five assessed outcomes of importance to patients, were included. Moderate quality evidence from one trial found no effect of low intensity pulsed ultrasonography on functional recovery from conservatively managed fresh clavicle fractures; whereas low quality evidence from three trials suggests benefit in non-operatively managed fresh fractures (faster radiographic healing time mean 36.9%, 95% confidence interval 25.6% to 46.0%). A single trial provided moderate quality evidence suggesting no effect of low intensity pulsed ultrasonography on return to function among non-operatively treated stress fractures.
Background: Randomized clinical trials (RCTs) stopped early for benefit often receive great attention and affect clinical practice, but pose interpretational challenges for clinicians, researchers, and policy makers. Because the decision to stop the trial may arise from catching the treatment effect at a random high, truncated RCTs (tRCTs) may overestimate the true treatment effect. The Study Of Trial Policy Of Interim Truncation (STOPIT-1), which systematically reviewed the epidemiology and reporting quality of tRCTs, found that such trials are becoming more common, but that reporting of stopping rules and decisions were often deficient. Most importantly, treatment effects were often implausibly large and inversely related to the number of the events accrued. The aim of STOPIT-2 is to determine the magnitude and determinants of possible bias introduced by stopping RCTs early for benefit.
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