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Record W2064670991 · doi:10.1159/000071121

Computed Tomographic Parameters Predicting Fatal Outcome in Large Middle Cerebral Artery Infarction

2003· article· en· W2064670991 on OpenAlexaff
Philip A. Barber, Andrew M. Demchuk, Jinjin Zhang, Scott E. Kasner, Michael D. Hill, Jörg Berrouschot, Erich Schmutzhard, Lutz Harms, Piero Verro, Derk Krieger

Bibliographic record

VenueCerebrovascular Diseases · 2003
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsUniversity of Calgary
FundersNational Institute of Neurological Disorders and Stroke
KeywordsMedicineMiddle cerebral arteryComputed tomographicInfarctionCardiologyStroke (engine)Cerebral infarctionRadiologyComputed tomographic angiographyBrain infarctionComputed tomographyInternal medicineIschemiaMyocardial infarctionAngiography

Abstract

fetched live from OpenAlex

BACKGROUND: Large middle cerebral artery (MCA) ischaemic stroke when associated with extensive mass effect can result in brain herniation and neurological death. As yet there are few guidelines to aid the selection of patients for aggressive interventional therapies, such as decompression hemicraniectomy and/or hypothermia. METHODS: We studied a cohort of patients from seven centres with large MCA infarction requiring neurocritical care. The purpose of this analysis was to assess the use of early radiological signs on follow-up computed tomographic (CT) signs performed within 48 h of stroke onset for predicting mortality at 30 days. The CT parameters assessed included horizontal displacement of the septum pellucidum, pineal shift, complete or partial infarction of the temporal lobe, involvement of additional vascular territories, and the presence of hydrocephalus. The primary outcome measure was in-hospital death within 30 days. RESULTS: One hundred and thirty-five patients who had follow-up CT scans within 48 h were identified from a total of 201 patients with large MCA infarction that received conventional medical therapy alone. The median age was 68 (range 29-99), 56% were female, and the median NIHSS category was 26-30 at 48 h. Among CT variables in univariable analysis, anteroseptal shift >/=5 mm, pineal shift >/=2 mm, complete temporal lobe infarction, involvement beyond the MCA territory, and moderate or severe hydrocephalus were equally predictive of death. Multivariable analysis adjusting for time to CT scan revealed the following predictors of fatal outcome: anteroseptal shift >/=5 mm (OR 10.9; 95% CI 3.2-37.6), NIHSS within 48 h >20 (OR 6.6; 95% CI 2.3-19.3), and infarction beyond the MCA territory (OR 4.9; 95% CI 1.6-15.0). CONCLUSIONS: We identified the role of early CT signs in predicting death following massive MCA infarction. The CT parameters anteroseptal shift (>5 versus </=5 mm), pineal shift >/=2 mm, hydrocephalus, temporal lobe infarction, and other vascular territory infarction if present were predictive of fatal outcome. These CT parameters require prospective validation before they should be considered reliable markers for decision-making.

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)0.000
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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

Citations69
Published2003
Admission routes1
Has abstractyes

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