MétaCan
Menu
Back to cohort
Record W4403611818 · doi:10.1161/strokeaha.124.048174

Twenty Years of Sustained Improvement in Quality of Care and Outcomes for Patients Hospitalized With Stroke or Transient Ischemic Attack: Data From The Get With The Guidelines-Stroke Program

2024· article· en· W4403611818 on OpenAlexaff
Ying Xian, Shen Li, Tian Jiang, Chandler Beon, Ram Poudel, Kathie Thomas, Mathew J. Reeves, Eric E. Smith, Jeffrey L. Saver, Kevin N. Sheth, Steven R. Messé, Lee H. Schwamm, Gregg C. Fonarow

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
FundersNational Center for Advancing Translational SciencesDuke Clinical Research InstituteNational Heart, Lung, and Blood InstituteAmerican Stroke Association
KeywordsMedicineStroke (engine)Atrial fibrillationSubarachnoid hemorrhageIntracerebral hemorrhageEmergency medicineDysphagiaIschemic strokePhysical therapyInternal medicineSurgeryIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: The Get With The Guidelines-Stroke program is a quality improvement initiative designed to enhance adherence to evidence-based stroke care. Since its inception in 2003, over 2800 hospitals in the United States have participated in the program. METHODS: We examined patient characteristics, adherence to performance measures, and in-hospital outcomes in patients hospitalized for acute ischemic stroke, subarachnoid hemorrhage, intracerebral hemorrhage, and transient ischemic attack in The Get With The Guidelines-Stroke hospitals from 2003 through 2022. We quantified temporal changes in performance measure adherence and clinical outcomes over time. Performance measure denominators consisted of patients who were eligible, excluding those with contraindications. RESULTS: <0.01 for all). In patients with acute ischemic stroke, large improvements were observed for anticoagulation for atrial fibrillation (55.7% in 2003 to 97.2% in 2022), smoking cessation counseling (44.7%-97.8%), dysphagia screening (53.8%-83.5%), thrombolytic treatment for patients arriving by 3.5 hours, treat by 4.5 hours (15.2%-92.9%), door-to-needle time within 60 minutes (19.0%-75.3%), and endovascular door-to-puncture time within 90 minutes (54.7%-62.8%). Similar improvements were also observed for measures relevant to patients with subarachnoid hemorrhage, intracerebral hemorrhage, and transient ischemic attack. Multivariable analysis showed that there was a sustained increase in odds of receiving each performance measure over time, independent of patient and hospital characteristics for each type of cerebrovascular event. After risk adjustment, there were temporal trends that patients were less likely to be discharged to a skilled nursing facility, and, for ischemic stroke only, more likely to be discharged directly home. CONCLUSIONS: During the first 20 years, Get With The Guidelines-Stroke participation was associated with sustained improvement in evidence-based care and outcomes for patients with stroke and transient ischemic attack in the United States.

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)0.005
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 score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.351
Teacher spread0.316 · 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

Citations18
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueStrokeSame topicAcute Ischemic Stroke ManagementFrench-language works237,207