Evidence map›Paper›PMID 42799324›Full record

Observational studyEuropean journal of neurology2026

Impact of a Specialized Care Pathway for ICU Patients With Disorders of Consciousness: Observational Insights From an Expert Center.

Clément Caiazzo, Estelle Pruvost-Robieux, Ghazi Hmeydia, Eleonore Bouchereau, Camille Legouy, Charlotte Calligaris, Julie Lévi-Strauss, Catherine Oppenheim, Sarah Benghanem, Caroline Schimpf and 3 more

Abstract readObservational Study
In one paragraph

Observational study in European journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Clément CaiazzoNeurointensive Care Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Estelle Pruvost-RobieuxUniversité Paris Cité, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM U1266, Stroke Team, Paris, France.ORCID https://orcid.org/0000-0002-6107-0964
Ghazi HmeydiaNeuroradiology Department, GHU-Paris Psychiatry & Neurosciences, Hôpital Sainte-Anne, Paris, France.
Eleonore BouchereauNeurointensive Care Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Camille LegouyNeurointensive Care Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Charlotte CalligarisNeurointensive Care Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Julie Lévi-StraussNeurophysiology Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Catherine OppenheimUniversité Paris Cité, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM U1266, Stroke Team, Paris, France.
Sarah BenghanemUniversité Paris Cité, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM U1266, Stroke Team, Paris, France.
Caroline SchimpfNeurointensive Care Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Martine GavaretUniversité Paris Cité, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM U1266, Stroke Team, Paris, France.
Tarek SharsharNeurointensive Care Department, GHU-Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France.
Bertrand HermannUniversité Paris Cité, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM U1266, Stroke Team, Paris, France.ORCID https://orcid.org/0000-0001-9071-3415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement of lasting disorders of consciousness (DoC) is complex and sometimes requires referral of patients to an expert team. We aimed to evaluate the impact of such specialized expert assessment through the description of a single-center experience.

methodMonocentric study including all patients with DoC referred to a tertiary neuroICU for multimodal clinical, electrophysiological, and MRI assessment allowing diagnostic and therapeutic proposals and multidisciplinary prognostic prediction. The primary endpoint was the patients' actual outcome, assessed by 3-month functional disability and 1-year mortality, according to the predicted prognosis.

resultsBetween July 2017 to June 2024, 124 patients (median age 61 [49-70] years, 67% of men) were referred from 43 departments of 37 primary hospitals. Most frequent etiologies were post-anoxic encephalopathy (62%) and secondary systemic brain injuries (15%). At a median of 23 [15-33] days after DoC onset, predicted prognosis was good in 20 (16%) patients, intermediate in 41 (33%), and poor in 63 (51%). Three-month GOS-E was 3 [1-3], 2 [1-3], and 1 [1] (p < 0.001) and 1-year mortality was 30%, 41%, and 82% (p < 0.001), respectively. Withdrawal of life-sustaining therapies increased with worsening predicted prognosis (38%, 41%, and 65%, respectively, p < 0.001), but functional disability and mortality remained higher in the poor prognosis group (p < 0.003 and p < 0.039, respectively) even after excluding patients with those decisions.

conclusionSpecialized consciousness assessment impacts the ethical decisions made by primary centers and helps refine the prediction of recovery but fails to achieve highly accurate individual prediction in a population with overall poor survival and functional prognosis.

Indexed as

Consciousness DisordersCritical PathwaysIntensive Care UnitsAgedCritical CareFemaleHumansMaleMiddle AgedPrognosisdisabilitydisorders of consciousnessexpertisemortalitymultimodal assessmentprognosticationtherapeutic decisions

Identifiers

PMID42799324
PMCPMC13615434

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.