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Hospitalization Costs of Primary Stenting Versus Thrombolysis in Acute Myocardial Infarction

2003· article· en· W2140990418 on OpenAlexaffabout
Michel R. Le May, Richard F. Davies, Marino Labinaz, Heather Sherrard, Jean-François Marquis, Louise Laramée, Edward R. O’Brien, William L. Williams, Rob Beanlands, Graham Nichol, Lyall Higginson

Bibliographic record

VenueCirculation · 2003
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineThrombolysisMyocardial infarctionStentRevascularizationStroke (engine)Internal medicineGroup BEmergency medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: We previously showed that primary stenting was more effective than accelerated tPA in reducing the 6-month composite of death, reinfarction, stroke, or repeat revascularization for ischemia. This study looks at the hospitalization costs of primary stenting compared with accelerated tPA. METHODS AND RESULTS: Initial and 6-month hospitalization costs were computed for all patients randomly assigned to primary stenting (n=62) or accelerated tPA (n=61) in the Stenting versus Thrombolysis in Acute myocardial infarction Trial (STAT). Costs and resource usage were collected in detail for each patient. Physician fees were obtained directly from billings to the Ontario Health Insurance Plan. The length of initial hospitalization was 6.7+/-11.3 days in the stent group and 8.7+/-6.7 days in the tPA group (P<0.001). Total hospitalization days at 6 months were 8.3+/-13 days in the stent group and 12.1+/-14.0 days in the tPA group (P=0.001). Hospitalization costs were less in the stent group for the initial hospitalization, 6354 dollars +/-6382 versus 7893 dollars +/-4429 (P=0.001), and at 6 months, 7100 dollars +/-7111 versus 9559 dollars +/-6933 (P=0.001). CONCLUSIONS: In centers in which facilities and experienced interventionists are available, primary stenting is less costly and more effective than thrombolysis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.278
Teacher spread0.258 · 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 teacher head, 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

Citations45
Published2003
Admission routes2
Has abstractyes

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