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Record W3006302340 · doi:10.1161/str.51.suppl_1.wp488

Abstract WP488: Imaging Correlates of Vascular Cognitive Impairment After Recent Ischemia in Intracranial Atherosclerosis: Evidence From SAMMPRIS

2020· article· en· W3006302340 on OpenAlexaboutno aff
David S. Liebeskind, José G. Romano, George Cotsonis, Shadi Yaghi, T Honda, Fabien Scalzo, David Fiorella, Colin P. Derdeyn, Shyam Prabhakaran, Edward Feldmann

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFluid-attenuated inversion recoveryMontreal Cognitive AssessmentCardiologyInternal medicineStroke (engine)LesionMagnetic resonance imagingRadiologyCognitive impairmentSurgeryDisease

Abstract

fetched live from OpenAlex

Background: More than 50% of individuals with recently symptomatic intracranial atherosclerotic disease (ICAD) manifest cognitive dysfunction. The imaging correlates of such cognitive impairment due to large vessel disease remain largely unknown. We examined the degree of cognitive dysfunction associated with detailed quantification of MRI DWI and FLAIR lesions at baseline in the SAMMPRIS trial. Methods: Central, blinded, adjudication of baseline MRI included measurement of DWI and FLAIR lesions and corresponding volumes. Cognitive function was assayed with the Montreal Cognitive Assessment (MoCA) score (0-30). Statistical analyses were used to describe MRI lesion characteristics and the correlation with baseline MoCA score. Results: At enrollment in SAMMPRIS, baseline DWI was available in 309/451 (69%) subjects, with FLAIR in 293/451 (65%). Baseline MoCA was median 25.0 (10-30). Chronic ischemic lesion burden on FLAIR was median 2.7 cc (0-87.0), with greater extent in those older than 60 years (p=0.03) and those on anti-thrombotics (p=0.01). DWI lesion volume (median 1.45 cc, range 0-71.84) was associated with NIHSS score (p<0.01), antithrombotic use (p=0.01) and time from qualifying event to enrollment (p=0.05). The number of DWI lesions (median 9, range 1-69) correlated (r=0.63, p<0.01) with total volume of acute infarction and was associated with more than 7 days from qualifying event (15.3 vs. 10.7, p<0.01). Chronic FLAIR lesion burden was associated with worse cognitive function or lower MoCA (r=-0.18, p=0.01) at baseline. Importantly, the volume or number of acute DWI lesions was unrelated to MoCA. Conclusions: Cognitive impairment associated with recently symptomatic intracranial atherosclerosis reflects the underlying burden of chronic, not acute, ischemia. Routine MRI, including FLAIR may inform future studies of vascular cognitive impairment in large vessel disease.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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