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Record W2300085290 · doi:10.1161/str.44.suppl_1.atp241

Abstract TP241: Race-ethnic Differentials Time and Acute Stroke Emergency Presentation: The ASPIRE Study

2013· article· en· W2300085290 on OpenAlexaff
Bernadette Boden‐Albala, Dorothy Farrar Edwards, Jeffrey J. Wing, Shauna St. Clair, Stephen Fernandez, Lewis B. Morgenstern, Amie Hsui, Chelsea S. Kidwell

Bibliographic record

VenueStroke · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsSt. Clair College
Fundersnot available
KeywordsMedicineStroke (engine)Arrival timeProportional hazards modelEmergency medicineEthnic groupEmergency departmentPreparednessAcute strokeDemographyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: There is sparse data about the nature of race-ethnic disparities in the acute stroke setting including differentials in stroke preparedness. The aim of this analysis was to explore race-ethnic differentials in time to arrival for acute stroke in a racial and ethnically diverse urban setting. METHODS: ASPIRE is a multi-dimensional intervention program (community, hospital, and EMS) for acute stroke preparedness targeted to increase IV tPA utilization in underserved black communities in the DC metro area. We prospectively identified stroke admissions and EMS utilization including acute stroke arrival time parameters for the 6 month pre and post intervention periods. Cox proportional hazards models were used to examine predictors of arrival time. Proportionality of the hazards was checked. RESULTS: In the 6 month pre-intervention period, data was collected on 943 stroke cases; 53% female; 74% black; mean age 67 yrs. Of the subjects from the pre-intervention period with arrival times less than 48 hrs, the median arrival time to the emergency department (ED) was 9 hours; 20% presented under 3 hours. In multivariable Cox PH models, subjects were 38% more likely to arrive earlier if they had arrived by EMS (HR: 1.38, 95%CI: 1.21-1.58). Black subjects were 25% less likely to arrive earlier (HR: 0.75, 95%CI: 0.60-0.93), but this effect was dampened over time (p=0.03). The model included the interaction between black race and time and adjusted for insurance status, risk factors (hypertension and diabetes), gender, age and prior stroke. Ina gender by race analysis, there was a trend towards black women being less likely to arrive earlier to the ED (HR 0.78, 95% CI 0.6 -1.0). However, overall, there was no race-ethnic interaction with arrival by EMS. CONCLUSIONS: Contrary to the perceived perception by the community suggesting there is a disparity in EMS utilization by the black DC community, we found no overall significant racial difference in EMS utilization for acute stroke. While there was a trend towards delayed overall arrival in black females, this was independent of EMS utilization.

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)0.002
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.304
Teacher spread0.283 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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