Optimizing use of revascularization and clinical outcomes in ST-elevation myocardial infarction: insights from the GUSTO-V trial
Bibliographic record
Abstract
AIMS: To examine the relationship between revascularization within 7 days and 1-year mortality among ST-elevation myocardial infarction patients enrolled in GUSTO-V trial (n=13 451). To examine the relative contribution of system and patient level factors to the variation in international revascularization rates, and their impact on mortality outcomes. METHODS AND RESULTS: Patients from North America (USA, Canada), Australia, and Europe (UK, France, Germany, Italy, Spain, Poland, Norway, The Netherlands, Belgium, Finland) were included in the study. Revascularization was associated with lower 1-year mortality. Norway, Belgium, Spain, Poland, and Italy also had lower than expected revascularization rates but higher than expected mortality rates. France and USA had almost two times the expected rate of 7-day revascularization, which was associated with modest mortality benefits. Patients' propensity for revascularization based on clinical factors alone was associated with lower 1-year mortality (OR 0.97, 95% CI: 0.96-0.99). Country-level factors had an impact on propensity for revascularization but no impact on 1-year mortality. CONCLUSION: Our study reveals the potential for some countries with lower than expected 7-day revascularization rates to improve their clinical outcomes. Also highlighted is the possibility for more economically efficient delivery of care in USA and France.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".