Evidence map›Paper›PMID 36100227›Full record

ReviewSeminars in neurology2022

Conventional and Investigational Approaches Leveraging Clinical EEG for Prognosis in Acute Disorders of Consciousness.

William H Curley, Angela Comanducci, Matteo Fecchio

Abstract readReview
In one paragraph

Review in Seminars in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Covert brain complexity in the intensive care unit.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
  2. Article
  3. Article
  4. Covert consciousness.NeuroRehabilitation · 2024
    Article
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

3 authors at 3 institutions in 2 countries.

William H CurleyHarvard Medical School, Boston, Massachusetts.
Angela ComanducciIRCSS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Matteo FecchioDepartment of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-0347-8531
Harvard University · USMassachusetts General Hospital · USUniversità Campus Bio-Medico · IT

Funding

A Connectome-Based Clinical Trial Platform to Promote Early Recovery of Consciousness after Traumatic ComaDP2HD101400 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2019
$2.5M
Brainstem Connectome Mapping to Guide Targeted Stimulant Therapy in Patients with Traumatic ComaR21NS109627 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2020
$480k
ACL HHS 90DP0039NICHD NIH HHS DP2 HD101400NINDS NIH HHS R21 NS109627
6 · The paper itself

Abstract

Prediction of recovery of consciousness after severe brain injury is difficult and limited by a lack of reliable, standardized biomarkers. Multiple approaches for analysis of clinical electroencephalography (EEG) that shed light on prognosis in acute severe brain injury have emerged in recent years. These approaches fall into two major categories: conventional characterization of EEG background and quantitative measurement of resting state or stimulus-induced EEG activity. Additionally, a small number of studies have associated the presence of electrophysiologic sleep features with prognosis in the acute phase of severe brain injury. In this review, we focus on approaches for the analysis of clinical EEG that have prognostic significance and that could be readily implemented with minimal additional equipment in clinical settings, such as intensive care and intensive rehabilitation units, for patients with acute disorders of consciousness.

Indexed as

Brain InjuriesConsciousnessAcute DiseaseConsciousness DisordersElectroencephalographyHumansPrognosis

Identifiers

PMID36100227
PMCPMC13053037
OpenAlexW4295754156

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.