SynthesisNeurocritical care2020
Imaging for Neuroprognostication After Cardiac Arrest: Systematic Review and Meta-analysis.
Synthesis in Neurocritical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
44 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Pooled it
- Care pathways for individuals with post-anoxic disorder of consciousness (CaPIADoC): an inter-society Consensus Conference.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Pooled it
- Guidelines for Neuroprognostication in Comatose Adult Survivors of Cardiac Arrest.Neurocritical care · 2023Guideline
- Prognostic Values of the Gray-to-White Matter Ratio on Brain Computed Tomography Images for Neurological Outcomes after Cardiac Arrest: A Meta-Analysis.BioMed research international · 2020Pooled it
- Practice patterns for acquiring neuroimaging after pediatric in-hospital cardiac arrest.Resuscitation · 2025Trial
- When EEG and Brain MRI Disagree After Cardiac Arrest.Neurocritical care · 2026Article
- Suicide attempt by a patient with an early phase of progressive supranuclear palsy: a case report.BMC neurology · 2026Article
- Ability of a Composite Brain Magnetic Resonance Imaging Score to Predict Neurologic Outcomes in Survivors of Out-Of-Hospital Cardiac Arrest.Neurocritical care · 2026Article
- Correlation of Gray-to-White matter ratio on Non-Contrast CT with neurological outcome in Post-Cardiac arrest syndrome.BMJ neurology open · 2026Article
- Post-cardiac arrest imaging: Unraveling etiology and predicting neurological outcome.World journal of radiology · 2025Review
- The semi-quantitative cardiac arrest brain ischemia (CABI) score for magnetic resonance imaging predicts functional outcome after cardiac arrest.Critical care (London, England) · 2025Observational
- Radiomics for Predicting the Development of Brain Edema from Normal-Appearing Early Brain-CT After Cardiac Arrest and Return of Spontaneous Circulation.Diagnostics (Basel, Switzerland) · 2025Article
- Time-dependent association of grey-white ratio on early brain CT predicting outcomes after cardiac arrest at hospital discharge.Resuscitation · 2025Article
- Optimizing brain protection after cardiac arrest: advanced strategies and best practices.Interface focus · 2024Review
- Application of multi-feature-based machine learning models to predict neurological outcomes of cardiac arrest.Resuscitation plus · 2024Review
- Role of artificial intelligence in predicting neurological outcomes in postcardiac resuscitation.Annals of medicine and surgery (2012) · 2024Review
- Multiomic biomarkers after cardiac arrest.Intensive care medicine experimental · 2024Review
- Prognostic value of grey-white matter ratio obtained within two hours after return of spontaneous circulation in out-of-hospital cardiac arrest survivors: A multicenter, observational study.Resuscitation plus · 2024Article
- Prognostic Implication of Ventricular Volumetry in Early Brain Computed Tomography after Cardiac Arrest.Diagnostics (Basel, Switzerland) · 2024Article
- Performance of the MRI lesion pattern score in predicting neurological outcome after out of hospital cardiac arrest: a retrospective cohort analysis.Critical care (London, England) · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting neurological outcome in comatose survivors of cardiac arrest relies on clinical findings, radiological and neurophysiological test results. To evaluate the predictive accuracy of brain computed tomography (CT) and magnetic resonance imaging (MRI) for prognostication of neurological outcomes after cardiac arrest.
methodsWe searched MEDLINE (database inception to August 2018) and included all observational cohort studies or randomized controlled trials including adult (16 years or older) survivors of cardiac arrest which evaluated the diagnostic accuracy of CT or MRI for predicting neurologic outcome or mortality. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. All review stages were conducted independently by 2 reviewers, and where possible data were pooled using bivariate meta-analysis. The main outcome was to evaluate the of accuracy of CT and MRI in neuroprognostication of patients after cardiac arrest.
resultsWe included 44 studies that examined brain CT (n = 24) or MRI (n = 21) in 4008 (n per study, 9-398) patients. Decreased grey to white matter ratio on CT (20 studies) was useful for predicting poor neurological outcome (sensitivity 0.44, 95% CI 0.29-0.60; specificity 0.97, 95% CI 0.93-0.99; positive likelihood ratio [LR+] 13.8, 95% CI 6.9-27.7). Similarly, diffusion-weighted imaging (DWI) on MRI (16 studies; sensitivity 0.77, 95% CI 0.65-0.85; specificity 0.92, 95% CI 0.85-0.96; LR+ 9.2, 95% CI 5.2-16.4) and DWI and fluid-attenuated inversion recovery (FLAIR) MRI (4 studies, sensitivity 0.70, 95% CI 0.43-0.88; specificity 0.95, 95% CI 0.79-0.99; LR+ 13.4, 95% CI 3.5-51.2) were useful for predicting poor neurological outcomes. We found marked heterogeneity in timing of radiological examinations and neurological assessments relative to the cardiac arrest.
conclusionDecreased grey to white matter ratio on CT and DWI or DWI and FLAIR on MRI are useful adjuncts for predicting poor early neurological outcome after cardiac arrest.
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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.