ArticleCritical care research and practice2012
Mindsight: diagnostics in disorders of consciousness.
Article in Critical care research and practice, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03826407 (Development of a Point of Care System for Automated Coma Prognosis - A Prospective Cohort Study), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Development of a Point of Care System for Automated Coma Prognosis - A Prospective Cohort Study
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review.Frontiers in human neuroscience · 2022Pooled it
- EEG Microstates During Multisensory Stimulation: Assessing the Severity of Disorders of Consciousness and Distinguishing the Minimally Conscious State.Brain sciences · 2025Article
- Limitation of life sustaining therapy in disorders of consciousness: ethics and practice.Brain : a journal of neurology · 2024Review
- Electrophysiological and Neuroimaging Studies - During Resting State and Sensory Stimulation in Disorders of Consciousness: A Review.Frontiers in neuroscience · 2020Review
- Distinctive FDG-PET/CT Findings in Acute Neurological Hospital Care.The Neurohospitalist · 2019Article
- Functional Brain Network Topology Discriminates between Patients with Minimally Conscious State and Unresponsive Wakefulness Syndrome.Journal of clinical medicine · 2019Article
- Novel Approaches to the Diagnosis of Chronic Disorders of Consciousness: Detecting Peripersonal Space by Using Ultrasonics.Frontiers in neurology · 2018Article
- Coherence in resting-state EEG as a predictor for the recovery from unresponsive wakefulness syndrome.Journal of neurology · 2016Article
- Stability of auditory event-related potentials in coma research.Journal of neurology · 2015Article
- Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness.Military Medical Research · 2014Review
- Conscious awareness in patients in vegetative states: myth or reality?Current neurology and neuroscience reports · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diagnosis of patients with disorders of consciousness (comprising coma, vegetative state/unresponsive wakefulness syndrome, and minimally conscious state) has long been dependent on unstandardized behavioral tests. The arrival of standardized behavioral tools, and especially the Coma Recovery Scale revised, uncovered a high rate of misdiagnosis. Ancillary techniques, such as brain imaging and electrophysiological examinations, are ever more often being deployed to aid in the search for remaining consciousness. They are used to look for brain activity patterns similar to those found in healthy controls. The development of portable and cheaper devices will make these techniques more widely available.
Identifiers
What OpenQuestion holds
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.