BACKGROUND AND OBJECTIVE: We describe the statistical analysis plan (SAP) for the Permissive Hyperthermia through Avoidance of Paracetamol in Known or Suspected Infection in the Intensive Care Unit (HEAT) trial, a 700-patient, prospective, randomised, Phase 2b, multicentre, double-blind, parallel-groups, placebo-controlled trial of paracetamol administration for the treatment of fever in critically ill patients with known or suspected infection. METHODS: The data fields described are those outlined in the study protocol published previously. We describe the plan for the presentation and comparison of baseline characteristics, process measures and outcomes. We describe baseline characteristics, and define and categorise trial outcomes according to their assigned importance. RESULTS AND CONCLUSIONS: We developed an SAP for the HEAT trial, and produced a mock Consolidated Standards of Reporting Trials diagram and tables. Our prespecified SAP accords with high-quality standards of internal validity and should minimise future analysis bias.
RCT Entities:
BACKGROUND AND OBJECTIVE: We describe the statistical analysis plan (SAP) for the Permissive Hyperthermia through Avoidance of Paracetamol in Known or Suspected Infection in the Intensive Care Unit (HEAT) trial, a 700-patient, prospective, randomised, Phase 2b, multicentre, double-blind, parallel-groups, placebo-controlled trial of paracetamol administration for the treatment of fever in critically illpatients with known or suspected infection. METHODS: The data fields described are those outlined in the study protocol published previously. We describe the plan for the presentation and comparison of baseline characteristics, process measures and outcomes. We describe baseline characteristics, and define and categorise trial outcomes according to their assigned importance. RESULTS AND CONCLUSIONS: We developed an SAP for the HEAT trial, and produced a mock Consolidated Standards of Reporting Trials diagram and tables. Our prespecified SAP accords with high-quality standards of internal validity and should minimise future analysis bias.
Authors: Satoshi Suzuki; Glenn M Eastwood; Michael Bailey; David Gattas; Peter Kruger; Manoj Saxena; John D Santamaria; Rinaldo Bellomo Journal: Crit Care Date: 2015-04-13 Impact factor: 9.097