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Record W2896008739 · doi:10.1161/str.49.suppl_1.wmp90

Abstract WMP90: Comparison of Acute Ischemic Stroke Care Between Comprehensive Stroke Centers and Primary Stroke Centers Participating in Get With the Guidelines-Stroke

2018· article· en· W2896008739 on OpenAlexaff
Shumei Man, Xin Zhao, Ken Uchino, Eric E. Smith, Deepak L. Bhatt, Ying Xian, Lee H. Schwamm, Shreyansh Shah, Yosef Khan, Gregg C. Fonarow

Bibliographic record

VenueStroke · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineStroke (engine)Emergency departmentTissue plasminogen activatorEmergency medicineThrombolysisLogistic regressionConfoundingInternal medicine

Abstract

fetched live from OpenAlex

Background: To improve stroke care, the Brain Attack Coalition recommended establishing primary stroke center (PSC) and comprehensive stroke center (CSC) certification. Achieving CSC designation requires the ability to provide more complex services. However, it remains unknown whether CSCs have better performance than PSCs for ischemic stroke care. This study compared ischemic stroke care between CSCs and PSCs. Methods: The study included consecutive patients who were admitted to the 134 CSCs and 1047 PSCs participating in Get With The Guidelines (GWTG)-Stroke between January 1, 2013 and December 31, 2015 with a final diagnosis of acute ischemic stroke. Multivariable logistic regression models were generated to examine the association between stroke center certification (CSC vs PSC) and performance measures and outcomes, after adjusting for potential confounders including patient and hospital characteristics. Results: Of the 605,136 patients who were admitted directly from the emergency department, 110,624 were admitted to CSCs and 494,512 to PSCs. CSCs were larger than PSCs (median number of beds 481 vs 263). Performance differences between CSCs vs. PSCs are shown in the table. CSCs and PSCs had comparable overall conformity to the seven performance measures represented by the summary defect-free care measure. CSCs outperformed PSCs in several key measures, especially the use of intravenous tissue plasminogen activator (IV tPA) and intra-arterial thrombectomy (IA-therapy). Compared with patients at PSCs, patients at CSCs were more likely to receive IV tPA in both unadjusted and adjusted models. The door to IV tPA time was shorter at CSCs. Patients at CSCs were more likely to receive IA therapy, with shorter door to IA therapy times. Mortality was higher at CSCs. Conclusions: Stroke care at CSCs exceeded PSCs for many but not all quality measures, particularly timely acute reperfusion therapy. Risk adjusted in-hospital mortality was modestly higher at CSCs.

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)0.004
metaresearch head score (Gemma)0.013
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.040
GPT teacher head0.329
Teacher spread0.289 · 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
Published2018
Admission routes1
Has abstractyes

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