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Record W94932004 · doi:10.1161/str.43.suppl_1.a72

Abstract 72: Refining The Pre-treatment Noncontrast CT ASPECTS Threshold For IAT Selection: Pooled Analysis Of The Penumbra Pivotal Study And PICS Registry

2012· article· en· W94932004 on OpenAlexaffabout
Albert J. Yoo, Zeshan A. Chaudhry, R. Gilberto González, Mayank Goyal, Andrew M. Demchuk, Elan Mualem, Hope Buell, Siu Po Sit, Arani Bose

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePenumbraStroke (engine)TIMIModified Rankin ScaleCohortRadiologyInternal medicineNuclear medicineThrombolysisIschemic strokeIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Previous studies have demonstrated that the Alberta Stroke Program Early CT Score (ASPECTS) on pre-treatment noncontrast CT (NCCT) can be used to identify patients who will benefit from intra-arterial therapy (IAT). Specifically, an ASPECTS threshold of 7 has been identified as clinically important. We sought to test this threshold and further characterize the clinical impact of pre-treatment ASPECTS (pre-ASPECTS) in a large IAT cohort. Materials and methods: We identified anterior circulation acute ischemic stroke patients treated with the Penumbra Stroke System in the Pivotal Study and the Penumbra Imaging Collaborative Study (PICS). Inclusion criteria for this analysis were evaluable pre-treatment NCCT and available 90-day modified Rankin Scale (mRS) score. Expert readers graded ischemic change on NCCT using ASPECTS and blinded to all clinical information except stroke side. Results: Of 221 patients who fulfilled study criteria, the mean age was 66.0±15.1 years, and median NIHSS score was 16 (IQR 12-21). The cohort was 50.9% (112/220) female. There were 111 (50.2%) right-sided strokes. The target vessel occlusion involved the ICA in 21.9% (48/219), MCA in 77.6% (170/219) and ACA in 0.5% (1/219). The median ASPECTS was 7 (IQR 6-9). TIMI 2-3 reperfusion was achieved in 83% (181/218). Good outcome (mRS 0-2) was achieved in 77 (34.8%) patients at 90 days. Adjusting for age, NIHSS and reperfusion, pre-treatment ASPECTS was an independent predictor of good outcome (O.R. 1.47; 95%C.I.:1.23 to 1.76). Pre-ASPECTS >7 predicted good outcome with a relative risk of 1.80 (95%C.I.:1.23 to 2.64). The proportion of good outcomes was exceedingly low among pre-ASPECTS 0-4 (2.8% [1/36]; Figure ). When trichotomizing pre-ASPECTS at 0-4 (n=36), 5-7 (n=76) and 8-10 (n=109), the median 90-day mRS scores were 6 (IQR 4-6), 3.5 (IQR 2-6) and 3 (IQR 1-4), respectively (p<0.0001). In pairwise comparison, the only significant differences were between pre-ASPECTS 0-4 and the other groups. While there was no effect of reperfusion on outcome among pre-ASPECTS 0-4, TIMI 2-3 reperfusion (p=0.04) and earlier timing of reperfusion (none vs. <300 minutes vs. ≥300 minutes; p=0.03) were associated with better outcomes among pre-ASPECTS 5-10. Conclusions: Pre-treatment NCCT ASPECTS is a critical determinant of outcome following IAT. Pre-ASPECTS 0-4 identifies a population of patients who are highly likely to have dismal outcomes and do not benefit from endovascular reperfusion.

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)0.028
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.277
Teacher spread0.263 · 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 designMeta-analysis
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
Published2012
Admission routes2
Has abstractyes

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