Evidence map›Paper›PMID 36480063›Full record

ReviewAnnals of intensive care2022

Prognostication after cardiac arrest: how EEG and evoked potentials may improve the challenge.

Sarah Benghanem, Estelle Pruvost-Robieux, Eléonore Bouchereau, Martine Gavaret, Alain Cariou

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Annals of intensive care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06711016 (Efficacy and Safety of Target-directed Management of Cerebral Oxygenation in Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
11.0field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT06711016 narecruitingnot on this mapstarted 2025, after this paper: background citation

Efficacy and Safety of Target-directed Management of Cerebral Oxygenation in Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation: A Multicenter, Pragmatic, Randomized, Controlled Clinical Trial

TypeinterventionalSponsorQilu Hospital of Shandong UniversityRan2025 to 2028Enrolled654ConditionsCardiac ArrestArmsif rSO2 < 58%, if rSO2 58%-68%, rSO2>68%, Standard monitoring based on ECPR, along with continuous cerebral oxygenation monitoring (blinded to investigators, with no clinical interventions according to the results)., Standard monitoring based on ECPR
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
  2. Early multimodal predictors of good neurological outcome in comatose patients after cardiac arrest: a prospective single-center cohort study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Sarah BenghanemMedical ICU, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France. sarah.benghanem@aphp.fr.
Estelle Pruvost-RobieuxMedical School, University Paris Cité, Paris, France.
Eléonore BouchereauDepartment of Neurocritical Care, G.H.U Paris Psychiatry and Neurosciences, 1, Rue Cabanis, 75014, Paris, France.
Martine GavaretMedical School, University Paris Cité, Paris, France.
Alain CariouMedical ICU, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France.
Inserm · FRCentre Hospitalier Sainte-Anne · FRHôpital Cochin · FRParis Cardiovascular Research Center · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 80% of patients resuscitated from CA are comatose at ICU admission and nearly 50% of survivors are still unawake at 72 h. Predicting neurological outcome of these patients is important to provide correct information to patient's relatives, avoid disproportionate care in patients with irreversible hypoxic-ischemic brain injury (HIBI) and inappropriate withdrawal of care in patients with a possible favorable neurological recovery. ERC/ESICM 2021 algorithm allows a classification as "poor outcome likely" in 32%, the outcome remaining "indeterminate" in 68%. The crucial question is to know how we could improve the assessment of both unfavorable but also favorable outcome prediction. Neurophysiological tests, i.e., electroencephalography (EEG) and evoked-potentials (EPs) are a non-invasive bedside investigations. The EEG is the record of brain electrical fields, characterized by a high temporal resolution but a low spatial resolution. EEG is largely available, and represented the most widely tool use in recent survey examining current neuro-prognostication practices. The severity of HIBI is correlated with the predominant frequency and background continuity of EEG leading to "highly malignant" patterns as suppression or burst suppression in the most severe HIBI. EPs differ from EEG signals as they are stimulus induced and represent the summated activities of large populations of neurons firing in synchrony, requiring the average of numerous stimulations. Different EPs (i.e., somato sensory EPs (SSEPs), brainstem auditory EPs (BAEPs), middle latency auditory EPs (MLAEPs) and long latency event-related potentials (ERPs) with mismatch negativity (MMN) and P300 responses) can be assessed in ICU, with different brain generators and prognostic values. In the present review, we summarize EEG and EPs signal generators, recording modalities, interpretation and prognostic values of these different neurophysiological tools. Finally, we assess the perspective for futures neurophysiological investigations, aiming to reduce prognostic uncertainty in comatose and disorders of consciousness (DoC) patients after CA.

Indexed as

Cardiac arrestComaDisorder of consciousnessElectroencephalogram EEGEvoked potentials EPNeuroprognostication

Identifiers

PMID36480063
PMCPMC9732180
OpenAlexW4311200874

What OpenQuestion holds

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LicenceCC BY
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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.