Evidence map›Paper›PMID 19862509›Full record

ReviewNeuroradiology2010

Neuroimaging after coma.

Luaba Tshibanda, Audrey Vanhaudenhuyse, Mélanie Boly, Andrea Soddu, Marie-Aurelie Bruno, Gustave Moonen, Steven Laureys, Quentin Noirhomme

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Neuroradiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02083367 (Default Mode Network fMRI Maps as a Predictive Index of Hepatic Encephalopathy Outcome), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT02083367 completednot on this mapstarted 2013, after this paper: background citation

Default Mode Network fMRI Maps as a Predictive Index of Hepatic Encephalopathy Outcome

TypeobservationalSponsorOSF Healthcare SystemRan2013 to 2015Enrolled12ConditionsHepatic Encephalopathy, Cirrhosis, Nonalcoholic Steatohepatitis, Hepatitis C
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Measuring consciousness in coma and related states.World journal of radiology · 2014
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

8 authors.

Luaba TshibandaComa Science Group, Cyclotron Research Center, University and University Hospital of Liège, Sart-Tilman, B30 Liège, Belgium.
Audrey Vanhaudenhuyse
Mélanie Boly
Andrea Soddu
Marie-Aurelie Bruno
Gustave Moonen
Steven Laureys
Quentin Noirhomme

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following coma, some patients will recover wakefulness without signs of consciousness (only showing reflex movements, i.e., the vegetative state) or may show non-reflex movements but remain without functional communication (i.e., the minimally conscious state). Currently, there remains a high rate of misdiagnosis of the vegetative state (Schnakers et. al. BMC Neurol, 9:35, 8) and the clinical and electrophysiological markers of outcome from the vegetative and minimally conscious states remain unsatisfactory. This should incite clinicians to use multimodal assessment to detect objective signs of consciousness and validate para-clinical prognostic markers in these challenging patients. This review will focus on advanced magnetic resonance imaging (MRI) techniques such as magnetic resonance spectroscopy, diffusion tensor imaging, and functional MRI (fMRI studies in both "activation" and "resting state" conditions) that were recently introduced in the assessment of patients with chronic disorders of consciousness.

Indexed as

BrainComaConsciousnessConsciousness DisordersHumansMagnetic Resonance ImagingNeural Pathways

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.