Evidence map›Paper›PMID 34236621›Full record

ArticleNeurocritical care2021

A Precision Medicine Framework for Classifying Patients with Disorders of Consciousness: Advanced Classification of Consciousness Endotypes (ACCESS).

Daniel Kondziella, David K Menon, Raimund Helbok, Lionel Naccache, Marwan H Othman, Verena Rass, Benjamin Rohaut, Michael N Diringer, Robert D Stevens, contributing collaborators of the Curing Coma Campaign

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Article in Neurocritical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Trial
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  11. Restoring consciousness with pharmacologic therapy: Mechanisms, targets, and future directions.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Article
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  18. Covert consciousness.NeuroRehabilitation · 2024
    Article
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  20. Review
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

10 authors.

Daniel Kondziella *Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 8, 2100, Copenhagen, Denmark. Daniel.kondziella@regionh.dk.ORCID http://orcid.org/0000-0001-5562-9808
David K Menon *Division of Anaesthesia, University of Cambridge, Cambridge, CB2 0NU, UK. dkm13@cam.ac.uk.ORCID http://orcid.org/0000-0002-3228-9692
Raimund HelbokDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Lionel NaccachePICNIC Lab Team, INSERM, U 1127, CNRS UMR 7225, Faculté de Médecine de Sorbonne Université, UMR S 1127 Institut du Cerveau et de la Moelle épinière, ICM, Hôpital Pitié-Salpêtrière, Paris, France.ORCID http://orcid.org/0000-0002-2874-1009
Marwan H OthmanDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 8, 2100, Copenhagen, Denmark.
Verena RassDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Benjamin RohautSorbonne Université, Faculté de Médecine Pitié-Salpêtrière, Paris, France.ORCID http://orcid.org/0000-0001-6752-8756
Michael N DiringerWashington University in St. Louis, Saint Louis, MO, USA.
Robert D StevensDepartments of Anesthesiology, Critical Care Medicine, Neurology, and Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
contributing collaborators of the Curing Coma Campaign

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsciousness in patients with brain injury is traditionally assessed based on semiological evaluation at the bedside. This classification is limited because of low granularity, ill-defined and rigid nomenclatures incompatible with the highly fluctuating nature of consciousness, failure to identify specific brain states like cognitive motor dissociation, and neglect for underlying biological mechanisms. Here, the authors present a pragmatic framework based on consciousness endotypes that combines clinical phenomenology with all essential physiological and biological data, emphasizing recovery trajectories, therapeutic potentials and clinical feasibility.

methodsThe Neurocritical Care Society's Curing Coma Campaign identified an international group of experts who convened in a series of online meetings between May and November 2020 to discuss and propose a novel framework for classifying consciousness.

resultsThe expert group proposes Advanced Classification of Consciousness Endotypes (ACCESS), a tiered multidimensional framework reflecting increasing complexity and an aspiration to consider emerging and future approaches. Tier 1 is based on clinical phenotypes and structural imaging. Tier 2 adds functional measures including EEG, PET and functional MRI, that can be summarized using the Arousal, Volition, Cognition and Mechanisms (AVCM) score (where "Volition" signifies volitional motor responses). Finally, Tier 3 reflects dynamic changes over time with a (theoretically infinite) number of physiologically distinct states to outline consciousness recovery and identify opportunities for therapeutic interventions.

conclusionsWhereas Tiers 1 and 2 propose an approach for low-resource settings and state-of-the-art expertise at leading academic centers, respectively, Tier 3 is a visionary multidimensional consciousness paradigm driven by continuous incorporation of new knowledge while addressing the Curing Coma Campaign's aspirational goals.

Indexed as

ConsciousnessPrecision MedicineComaConsciousness DisordersElectroencephalographyHumansMagnetic Resonance ImagingBrain injuryComaConsciousnessElectroencephalographyEndotypesFunctional magnetic resonance imagingNeuroimaging

Identifiers

What OpenQuestion holds

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Registered trials

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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.