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Record W4391448027 · doi:10.1161/str.55.suppl_1.82

Abstract 82: The Association of Transfer Status and Time on Clinical and Imaging Outcomes in Large Core Strokes: <i>A SELECT2 Subanlaysis</i>

2024· article· en· W4391448027 on OpenAlexaff
Amrou Sarraj, Michael Abraham, Michael Chen, Scott E. Kasner, Santiago Ortega‐Gutiérrez, Muhammad Shazam Hussain, Deep Pujara, Faris Shaker, Leonid Churilov, Sophia Sundararajan, Yin Hu, Faisal Al-Shaibi, Amanda Opaskar, Rami Moussa, Hannah Johns, Mohammad A Abdulrazzak, Spiros Blackburn, Michael DeGeorgia, Nicholas C. Bambakidis, Cathy Sila, Vítor Mendes Pereira, Maarten G. Lansberg, Gregory W. Albers, Michael D. Hill, James C. Grotta, Marc Ribó, Ameer E Hassan, Bruce Campbell

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of CalgarySt. Michael's Hospital
Fundersnot available
KeywordsMedicineStroke (engine)Internal medicineAssociation (psychology)Core (optical fiber)Cardiology

Abstract

fetched live from OpenAlex

Background: Patients with large core strokes have poor clinical outcomes and are frequently not transferred to endovascular thrombectomy (EVT)-capable centers for EVT. We analyzed the association of transfer status and time on neuroimaging changes, clinical outcomes and EVT treatment effect in SELECT2. Methods: Patients enrolled in the SELECT-2 trial were stratified based on transfer status. CT ASPECTS at outside hospital and EVT center were collected if available. Treatment effect was compared by transfer status as well as in transferred patients with outside ASPECTS ≤5. The association of ASPECTS loss during transfer was also quantified. The primary outcome was the distribution of modified Rankin Scale score at 90-day follow-up. Results: Of 352 enrolled patients, 211 (60%) were transferred to EVT capable center and 108(51%) received EVT. 141 presented directly and 72 (51%) received EVT. The median transfer time was 185 (140-234) minutes. Median ASPECTS decreased from outside hospital [5(4-7)] to EVT center [4 (3-5)] with ASPECTS decay rate at 0.31 (0-0.84) points/hour of transfer time, with 50/120 (42%) experienced ASPECTS loss ≥2. Thrombectomy treatment effect was preserved in both directly presenting patients [aGenOR: 2.01 (1.42-2.86)] as well as transferred patients [aGenOR: 1.50 (1.11-2.03)] without significant heterogeneity (P-int=0.14). EVT also demonstrated numerically better functional outcomes in transferred patients with outside ASPECTS of ≤5 (n=65, 35 EVT, aGenOR: 1.77 (0.97-3.23), p=0.068). ASPECTS loss was associated with worse clinical outcomes in EVT [aGenOR: 0.81 (0.71-0.83) per ASPECTS point loss] but not in MM: [aGenOR: 0.89 (0.73-1.08) per ASPECTS point loss]. Conclusion: In large core patients, transfer time was associated with ASPECTS decay, resulting in worse outcomes with EVT. Transferred patients however still benefited from EVT, with a trend towards better outcomes in patients with low ASPECTS at outside hospitals. These findings may substantially impact stroke care infrastructure, emphasizing the need for rapid identification of patients suitable for transfer and expedited transport. Clinicaltrials.gov registration: NCT03876457

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.306
Teacher spread0.291 · 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
Published2024
Admission routes1
Has abstractyes

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