ReviewIntensive care medicine2015
Predicting time to death after withdrawal of life-sustaining therapy.
Review in Intensive care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The experience of nurses when providing care across acts that may be perceived as death hastening: A qualitative evidence synthesis.Palliative medicine · 2025Pooled it
- Establishing standards for controlled donation after circulatory determination of death in adults: the Bucharest international European Society for Organ Transplantation consensus.Transplant international : official journal of the European Society for Organ Transplantation · 2026Article
- The Bucharest international European Society for Organ Transplantation consensus on paediatric controlled donation after circulatory determination of death.Transplant international : official journal of the European Society for Organ Transplantation · 2026Article
- Organ donation after death determination by circulatory criteria: family members' experiences with withdrawal of life-sustaining measures in Canadian intensive care units.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025Article
- Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era.European journal of medical research · 2023Article
- Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus.AI and ethics · 2022Article
- Predicting Time to Death After Withdrawal of Life-Sustaining Treatment in Children.Critical care explorations · 2022Review
- Predicting Time to Death After Withdrawal of Life-Sustaining Measures Using Vital Sign Variability: Derivation and Validation.Critical care explorations · 2022Article
- Surgical and logistical concerns for ex vivo-based perfusion strategies for "donation after circulatory death" multiorgan recovery.JTCVS techniques · 2022Article
- Donation after circulatory determination of death in western Canada: a multicentre study of donor characteristics and critical care practices.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2020Article
- Comparison of Experimental Rat Models in Donation After Circulatory Death (DCD):Frontiers in cardiovascular medicine · 2020Article
- First Scandinavian Protocol for Controlled Donation After Circulatory Death Using Normothermic Regional Perfusion.Transplantation direct · 2018Article
- Focus on palliative care in the ICU.Intensive care medicine · 2017Article
- A few realistic questions raised by organ retrieval in the intensive care unit.Annals of translational medicine · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePredicting time to death following the withdrawal of life-sustaining therapy is difficult. Accurate predictions may better prepare families and improve the process of donation after circulatory death.
methodsWe systematically reviewed any predictive factors for time to death after withdrawal of life support therapy.
resultsFifteen observational studies met our inclusion criteria. The primary outcome was time to death, which was evaluated to be within 60 min in the majority of studies (13/15). Additional time endpoints evaluated included time to death within 30, 120 min, and 10 h, respectively. While most studies evaluated risk factors associated with time to death, a few derived or validated prediction tools. Consistent predictors of time to death that were identified in five or more studies included the following risk factors: controlled ventilation, oxygenation, vasopressor use, Glasgow Coma Scale/Score, and brain stem reflexes. Seven unique prediction tools were derived, validated, or both across some of the studies. These tools, at best, had only moderate sensitivity to predicting the time to death. Simultaneous withdrawal of all support and physician opinion were only evaluated in more recent studies and demonstrated promising predictor capabilities.
conclusionsWhile the risk factors controlled ventilation, oxygenation, vasopressors, level of consciousness, and brainstem reflexes have been most consistently found to be associated with time to death, the addition of novel predictors, such as physician opinion and simultaneous withdrawal of all support, warrant further investigation. The currently existing prediction tools are not highly sensitive. A more accurate and generalizable tool is needed to inform end-of-life care and enhance the predictions of donation after circulatory death eligibility.
Indexed as
Identifiers
25944573What 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.