ReviewCritical care (London, England)2007
Clinical review: allocating ventilators during large-scale disasters--problems, planning, and process.
Review in Critical care (London, England), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Practices in Triage and Transfer of Critically Ill Patients: A Qualitative Systematic Review of Selection Criteria.Critical care medicine · 2020Pooled it
- A Multiple Emergency Ventilator as backup solution for disaster situations: prototype development and functional assessment.Medical & biological engineering & computing · 2025Article
- Adjustment of medical standards in disaster, crises and war: a scoping review of the literature.BMJ public health · 2024Article
- The impact of Hurricane Maria on individuals living with non-communicable disease in Puerto Rico: the experience of 10 communities.BMC public health · 2022Article
- Priority-setting dilemmas, moral distress and support experienced by nurses and physicians in the early phase of the COVID-19 pandemic in Norway.Nursing ethics · 2021Article
- Priorities Towards Fair Allocation of Ventilators During COVID-19 Pandemic: A Delphi Study.Frontiers in medicine · 2021Article
- Prediction of Pediatric Critical Care Resource Utilization for Disaster Triage.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020Article
- Always ready, always prepared-preparing for the next pandemic.Translational pediatrics · 2018Review
- Indoor fire in a nursing home: evaluation of the medical response to a mass casualty incident based on a standardized protocol.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2015Article
- Review
- Triage: care of the critically ill and injured during pandemics and disasters: CHEST consensus statement.Chest · 2014Review
- Expanding the use of noninvasive ventilation during an epidemic.Disaster medicine and public health preparedness · 2014Article
- Repeat triage in disaster relief: questions from haiti.PLoS currents · 2012Article
- Priority setting of ICU resources in an influenza pandemic: a qualitative study of the Canadian public's perspectives.BMC public health · 2012Article
- Utstein-style template for uniform data reporting of acute medical response in disasters.PLoS currents · 2012Article
- Valuing lives: Allocating scarce medical resources during a public health emergency and the Americans with Disabilities Act (perspective).PLoS currents · 2011Article
- The Simple Triage Scoring System (STSS) successfully predicts mortality and critical care resource utilization in H1N1 pandemic flu: a retrospective analysis.Critical care (London, England) · 2011Article
- Clinical review: Considerations for the triage of maternity care during an influenza pandemic--one institution's approach.Critical care (London, England) · 2010Article
- Altered standards of care during an influenza pandemic: identifying ethical, legal, and practical principles to guide decision making.Disaster medicine and public health preparedness · 2009Article
- Preparedness planning for pandemic influenza among large US maternity hospitals.Emerging health threats journal · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Catastrophic disasters, particularly a pandemic of influenza, may force difficult allocation decisions when demand for mechanical ventilation greatly exceeds available resources. These situations demand integrated incident management responses on the part of the health care facility and community, including resource management, provider liability protection, community education and information, and health care facility decision-making processes designed to allocate resources as justly as possible. If inadequate resources are available despite optimal incident management, a process that is evidence-based and as objective as possible should be used to allocate ventilators. The process and decision tools should be codified pre-event by the local and regional healthcare entities, public health agencies, and the community. A proposed decision tool uses predictive scoring systems, disease-specific prognostic factors, response to current mechanical ventilation, duration of current and expected therapies, and underlying disease states to guide decisions about which patients will receive mechanical ventilation. Although research in the specifics of the decision tools remains nascent, critical care physicians are urged to work with their health care facilities, public health agencies, and communities to ensure that a just and clinically sound systematic approach to these situations is in place prior to their occurrence.
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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.