Consideration Regarding the Analysis of Randomized Controlled Trials in the Era of Evidence-based Medicine.

ABSTRACT: Analysis of randomized controlled trials (RCTs) is the cornerstone of evidence-based medicine, therapeutic guidelines and ultimately daily practice. However, 2 issues contribute to cloud the analysis of RCTs. Industry-sponsored RCTs aim at capturing as large indications as possible and clinicians rely excessively on P value statistical significance for the evaluation of the findings. To be most valuable to practitioners, analysis of RCTs needs to provide absolute risk reduction, number of patients needed to treat, fragility index along with the estimation of lost to follow-up patients, and outcome postponement (gain in survival time). We analyzed few major cardiovascular RCTs and assessed the robustness of their findings. Our suggested analytic parameters may be further used in future systematic reviews and meta-analyses.

The Stop-Only-While-Shocking algorithm reduces hands-off time by 17% during cardiopulmonary resuscitation - a simulation study.

INTRODUCTION: Reducing hands-off time during cardiopulmonary resuscitation (CPR) is believed to increase survival after cardiac arrests because of the sustaining of organ perfusion. The aim of our study was to investigate whether charging the defibrillator before rhythm analyses and shock delivery significantly reduced hands-off time compared with the European Resuscitation Council (ERC) 2010 CPR guideline algorithm in full-scale cardiac arrest scenarios. METHODS: The study was designed as a full-scale cardiac arrest simulation study including administration of drugs. Participants were randomized into using the Stop-Only-While-Shocking (SOWS) algorithm or the ERC2010 algorithm. In SOWS, chest compressions were only interrupted for a post-charging rhythm analysis and immediate shock delivery. A Resusci Anne HLR-D manikin and a LIFEPACK 20 defibrillator were used. The manikin recorded time and chest compressions. RESULTS: Sample size was calculated with an α of 0.05 and 80% power showed that we should test four scenarios with each algorithm. Twenty-nine physicians participated in 11 scenarios. Hands-off time was significantly reduced 17% using the SOWS algorithm compared with ERC2010 [22.1% (SD 2.3) hands-off time vs. 26.6% (SD 4.8); P<0.05]. CONCLUSION: In full-scale cardiac arrest simulations, a minor change consisting of charging the defibrillator before rhythm check reduces hands-off time by 17% compared with ERC2010 guidelines.