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Record W2733768938 · doi:10.1161/str.47.suppl_1.5

Abstract 5: Analysis of Workflow Aad Determinants of Delays in the Escape Randomized Controlled Trial

2016· article· en· W2733768938 on OpenAlexaff
Bijoy K. Menon, Tolulope T. Sajobi, Yukun Zhang, Jeremy Rempel, Ashfaq Shuaib, John Thornton, David Williams, Daniel Roy, Alexandre Y. Poppe, Tudor G. Jovin, Biggua Sapkota, Blaise Baxter, Timo Krings, Frank L. Silver, Donald Frei, Christopher Fanale, Donatella Tampieri, Jeanne Teitelbaum, Cheemun Lum, Dar D Dowlatshahi, Muneer Eesa, Mark Lowerison, Noreen Kamal, Andrew M. Demchuk, Michael D. Hill, Mayank Goyal

Bibliographic record

VenueStroke · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of OttawaUniversity of CalgaryMcGill UniversityUniversity of TorontoUniversité de MontréalUniversity of Alberta
Fundersnot available
KeywordsMedicineGroinConfidence intervalStroke (engine)QuartileRandomized controlled trialEmergency departmentEndovascular treatmentEmergency medicineSurgeryAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Introduction: The ESCAPE trial used innovative imaging and aggressive target time metrics to demonstrate the benefit of additional endovascular treatment over standard care in patients with disabling acute ischemic stroke. We performed a detailed analysis of workflow and determine modifiable factors resulting in delays. Methods: The trial enrolled 316 patients fulfilling eligibility criteria and presenting within 12 hours of stroke symptom onset from 22 sites across 3 continents between February 2013 and October 2014. We considered four specific interval times: onset-to-ED arrival, ED-arrival-to-qualifying CT scan, qualifying CT scan-to-groin puncture, groin puncture-to-reperfusion. Missing times were not imputed. When reperfusion was not achieved, the reperfusion time was considered missing and was not imputed. Interval times from stroke symptom onset to first reperfusion are reported using medians and inter-quartile range. To assess the relationship between patient, hospital and health system characteristics as predictors of longer interval times, a negative binomial regression provided the best fit to the data. Results: Stroke symptom onset to arrival in emergency room of endovascular capable hospital time was 42% (34 mins) longer among patients who received intravenous alteplase at the referring hospital (drip and ship) vs. patients directly transferred to the endovascular capable hospital (direct to mother ship) (Figure). Qualifying CT to groin puncture time was 15% (8 mins) shorter among patients presenting during work hours vs. off hours. Time from qualifying CT to groin puncture was 41% (24 min) shorter in drip and ship patients than vs. when intravenous alteplase was administered after qualifying CT (mothership). General anesthesia prolonged this time by 43% (22 min). Balloon guide catheter during endovascular procedure shortened time from groin puncture to reperfusion by 21% (8 mins). Conclusions: Inefficiencies in triaging systems, presentation during off hours, intravenous alteplase administration, GA utilization and endovascular techniques offer major opportunities for improvement.

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)0.042
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.072
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.007
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.282
Teacher spread0.268 · 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.

Study designObservational
DomainMethods
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
Published2016
Admission routes1
Has abstractyes

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