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Record W2025629476 · doi:10.1186/cc5648

Does the Glasgow Coma Scale correctly diagnose the vegetative and minimally conscious states?

2007· article· en· W2025629476 on OpenAlexfundno aff
Caroline Schnakers, Joseph T. Giacino, Kathleen Kalmar, Sonia Piret, Eduardo López, Mélanie Boly, Richard Malone, Steven Laureys

Bibliographic record

VenueCritical Care · 2007
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsGlasgow Coma ScaleMinimally conscious stateMedicineComa (optics)Gold standard (test)Level of consciousnessPersistent vegetative stateIntensive careConsciousnessNeurologyRehabilitationAcquired brain injuryScale (ratio)Intensive care medicineEmergency medicinePsychiatryPhysical therapyAnesthesiaInternal medicineNeurosciencePsychology

Abstract

fetched live from OpenAlex

Progress in intensive care has led to an increase in the number of patients who survive severe brain injury and, therefore, the number of patients with impaired consciousness. Behavioral assessment remains the gold standard to monitor the level of consciousness. However, about one-third of patients diagnosed with a vegetative state are actually conscious (or in a minimally conscious state). We compared the ability of the famous Glasgow Coma Scale (GCS) and other standardized behavioral scales to correctly diagnose the vegetative state in an acute (intensive care and neurology ward) and chronic (neuro-rehabilitation) setting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.042
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.301
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2007
Admission routes1
Has abstractyes

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