Trial reportBMJ open2016
Early intervention of patients at risk for acute respiratory failure and prolonged mechanical ventilation with a checklist aimed at the prevention of organ failure: protocol for a pragmatic stepped-wedged cluster trial of PROOFCheck.
Trial report in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Prevention of Severe Acute Respiratory Failure in Patients With PROOFcheck - an Electronic Checklist to Prevent Organ Failure
Hospital Airway Resuscitation Trial: A Cluster-Randomized, Pragmatic Trial
Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Facing the Realities of Pragmatic Design Choices in Environmental Health Studies: Experiences from the Household Air Pollution Intervention Network Trial.International journal of environmental research and public health · 2022Trial
- A comparative evaluation of large language models in aligning with European Respiratory Society (ERS) guidelines for high-flow nasal cannula in acute respiratory failure.Journal of thoracic disease · 2026Article
- Machine learning time-to-event algorithms for predicting the duration of ventilation after cardiac surgery.JTCVS open · 2026Article
- Effects of mechanical ventilation on the interstitial extracellular matrix in healthy lungs and lungs affected by acute respiratory distress syndrome: a narrative review.Critical care (London, England) · 2024Review
- Article
- Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine Learning.Journal of clinical medicine · 2021Article
- Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data.Critical care explorations · 2021Article
- Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome.Frontiers in big data · 2020Review
- Increasing Economic Burden in Hospitalized Patients With Cirrhosis: Analysis of a National Database.Clinical and translational gastroenterology · 2019Article
- Article
- Article
- Respiratory failure in the hematopoietic stem cell transplant recipient.World journal of critical care medicine · 2018Review
- Framing the conversation: use of PRECIS-2 ratings to advance understanding of pragmatic trial design domains.Trials · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
introductionAcute respiratory failure (ARF) often presents and progresses outside of the intensive care unit. However, recognition and treatment of acute critical illness is often delayed with inconsistent adherence to evidence-based care known to decrease the duration of mechanical ventilation (MV) and complications of critical illness. The goal of this trial is to determine whether the implementation of an electronic medical record-based early alert for progressive respiratory failure coupled with a checklist to promote early compliance to best practice in respiratory failure can improve the outcomes of patients at risk for prolonged respiratory failure and death. METHODS AND ANALYSIS: A pragmatic stepped-wedged cluster clinical trial involving 6 hospitals is planned. The study will include adult hospitalised patients identified as high risk for MV >48 hours or death because they were mechanically ventilated outside of the operating room or they were identified as high risk for ARF on the Accurate Prediction of PROlonged VEntilation (APPROVE) score. Patients with advanced directives limiting intubation will be excluded. The intervention will consist of (1) automated identification and notification of clinician of high-risk patients by APPROVE or by invasive MV and (2) checklist of evidence-based practices in ARF (Prevention of Organ Failure Checklist-PROOFCheck). APPROVE and PROOFCheck will be developed in the pretrial period. Primary outcome is hospital mortality. Secondary outcomes include length of stay, ventilator and organ failure-free days and 6-month and 12-month mortality. Predefined subgroup analysis of patients with limitation of aggressive care after study entry is planned. Generalised estimating equations will be used to compare patients in the intervention phase with the control phase, adjusting for clustering within hospitals and time. ETHICS AND DISSEMINATION: The study was approved by the institutional review boards. Results will be published in peer-reviewed journals and presented at international meetings. TRIAL REGISTRATION NUMBER: NCT02488174.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.