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Record W3005588128 · doi:10.1161/str.51.suppl_1.wmp16

Abstract WMP16: Radiographic Characteristics of Mild Ischemic Stroke Patients With Visible Intracranial Occlusion; Data From the INTERRSeCT Multi-Center Prospective Imaging Study

2020· article· en· W3005588128 on OpenAlexaff
Hsien Lee Lau, Hannah Gardener, Vasu Saini, Nastajjia Krementz, Thalia S. Field, Dar Dowlatshahi, Eric E. Smith, Michael D. Hill, Shelagh B. Coutts, Andrew M. Demchuk, José G. Romano, Bijoy K. Menon, Negar Asdaghi

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of CalgaryUniversity of OttawaUniversity of British Columbia
Fundersnot available
KeywordsMedicineOcclusionThrombusStroke (engine)Prospective cohort studyAngiographyMiddle cerebral arterySingle CenterRadiologyCardiologyInternal medicineIschemia

Abstract

fetched live from OpenAlex

Background: Early neurological deterioration occurs in one third of mild ischemic strokes primarily due to the presence of a visible intracranial vessel occlusion. We studied the clinical and vascular occlusive patterns, thrombus characteristics and recanalization rates in patients with mild ischemic stroke and a visible intracranial vessel occlusion. Methods: We studied patients enrolled in the INTERRSeCT multi-center prospective study of acute ischemic strokes with visible intracranial occlusions. We compared the clinical, thrombus characteristics and recanalization rates between two groups, 1) mild ischemic NIHSS≤5 and 2) moderate/severe strokes NIHSS >5, with or without IV alteplase treatment. Vessel imaging with CT angiography (CTA) was initiated within 12 hrs of symptom onset followed by repeat imaging with CTA or cerebral angiogram (before endovascular therapy; EVT) within 4 +/- 2 hrs. Results: Among 575 patients with a visible intracranial occlusion, 12.9% had mild strokes with similar patient characteristics compared to the moderate/severe stroke group. Residual flow grades were similar between the two groups (residual flow grades I-II, 21% vs 19%). The mild stroke group had longer symptom-onset-to -CT (240 vs 167 min, p=0.02) and -CTA (246 vs 172 min, p=0.02) times, longer CT to needle time (35 vs 26 min, p<0.01), more distal occlusions (49% in M2 of the middle cerebral artery), lower clot burden scores 9 (6-9) vs 6 (4-9) (p<0.001), better collateral flow (9.1 vs 7.6, p=0.001) and no association between residual flow grade and recanalization. The mild stroke group was less likely to receive IV alteplase (62% vs 84%), but more likely to recanalize (rAOL2b and 3) with (46% vs 29%) and without (38% vs 26%) IV alteplase. Conclusion: Some thrombus characteristics that predict recanalization in more severe strokes do not predict recanalization in mild strokes, such as residual blood flow through intracranial occlusions, though they have similar cardiovascular risk factors. Less than half of patients with mild strokes recanalized with IV alteplase which was associated with longer decision-making times suggesting that more aggressive use of thrombolytics and/or EVT may be viable treatment options in this population.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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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