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Record W2112435159 · doi:10.1161/strokeaha.109.557009

Crescendo Transient Aura Attacks

2009· article· en· W2112435159 on OpenAlexaff
Aaron Izenberg, Richard I. Aviv, Bart M. Demaerschalk, David W. Dodick, Julia Hopyan, Sandra E. Black, David J. Gladstone

Bibliographic record

VenueStroke · 2009
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineCerebral amyloid angiopathyAuraCortical spreading depressionSubarachnoid hemorrhageNeuroimagingMigraineMigraine with auraAnesthesiaStroke (engine)CardiologyInternal medicinePsychiatryDementiaDisease

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Diagnosis of transient ischemic attack can be difficult because many mimics exist. We report the clinical and neuroimaging features of a distinct hemorrhagic transient ischemic attack mimic. METHODS: Case series. RESULTS: We describe 4 elderly patients presenting with a cluster of stereotyped somatosensory migraine auras, initially referred for "crescendo transient ischemic attacks". Neuroimaging in each patient revealed an unexpected finding of spontaneous focal subarachnoid hemorrhage conforming to a cortical sulcus in the contralateral hemisphere. We postulate that the episodic aura symptoms corresponded to recurrent cortical spreading depression triggered by the presence of subarachnoid blood, and speculate that such episodes could be a presenting feature of cerebral amyloid angiopathy in the absence of typical cerebral microbleeds or history of cognitive impairment. CONCLUSIONS: Focal subarachnoid hemorrhage can present clinically with transient repetitive migraine auras. Awareness of this entity is important because misdiagnosis as cerebral ischemic events could lead to incorrect treatment. We recommend that elderly patients presenting with a cluster of new unexplained migraine auras should be investigated ideally with MRI to detect focal subarachnoid hemorrhage.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.307
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations62
Published2009
Admission routes1
Has abstractyes

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