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Record W4391438123 · doi:10.1161/str.55.suppl_1.tp282

Abstract TP282: Impact of Interhospital Transfer on Patients Undergoing Endovascular Thrombectomy for Acute Ischemic Stroke From a Comprehensive Stroke Center

2024· article· en· W4391438123 on OpenAlexaff
Hamza Khan, Saqib Chaudhry, Maham Laleka, Mohammad Rauf Chaudhry, Akif Ali, Yun Fang, Ameerdad Khan, Ashfaq Shuaib, Adnan I. Qureshi

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineStroke (engine)Ischemic strokeEndovascular treatmentAcute strokeEmergency medicineCardiologySurgeryInternal medicineIschemiaTissue plasminogen activatorAneurysm

Abstract

fetched live from OpenAlex

Objective: This study aims to evaluate how interhospital transfers impact the correlation between functional outcomes, mortality, reperfusion rates, and workflow time metrics in patients undergoing endovascular thrombectomy (EVT) for acute ischemic stroke caused by large vessel occlusion (LVO). Background: This analysis is based on a prospective database encompassing consecutive patients who underwent EVT for LVO between January 2021 and June 2023 at a comprehensive stroke center (CSC). Main Outcome Measures: The primary outcome measures assessed include the rate of favorable 90-day functional outcomes (modified Rankin Scale 0-2), successful reperfusion (Thrombolysis in Cerebral Infarction scale grade 2b or 3), symptomatic intracerebral hemorrhage (sICH), and 90-day mortality. Additionally, essential workflow time metric milestones were analyzed. Results: Out of 363 patients, 172 (47.4%) were transferred from other hospitals. The transferred patients were relatively younger than those who presented directly (66.5 ± 15.6 vs. 70.6 ± 14.5). No significant differences were observed in baseline characteristics, including gender, National Institutes of Health Stroke Scale score, and the rate of intravenous thrombolysis, between the transferred and direct presentation groups (all p > 0.05). The time of symptom onset to groin puncture time was significantly higher for the transfer group (703.6 min vs. 394.5 min, p < 0.0001), while comparable figures were noted for groin puncture to reperfusion time (43.9 min vs. 45.1 min, p = 0.7071) and ICU length of stay (70.8 hours vs. 59.3 hours, p = 0.7071) between the two cohorts. Similar rates were also seen for successful reperfusion (p = 0.2348), sICH (p = 0.4933), favorable 90-day functional outcomes (p = 0.9457), mortality (p = 0.8534), and composite complications during hospitalization (p = 0.5779). Conclusion: Although we observed significantly longer time intervals from symptom onset to initiation of mechanical thrombectomy in patients transferred from outside facilities, there were no adverse consequences on patient outcomes.

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)0.006
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.286
Teacher spread0.272 · 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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