Safety and Feasibility of Catheter-Based Local Intracoronary Vascular Endothelial Growth Factor Gene Transfer in the Prevention of Postangioplasty and In-Stent Restenosis and in the Treatment of Chronic Myocardial Ischemia
Bibliographic record
Abstract
BACKGROUND: Catheter-based intracoronary vascular endothelial growth factor (VEGF) gene transfer is a potential treatment for coronary heart disease. However, only limited data are available about local VEGF gene transfer given during angioplasty (PTCA) and stenting. METHODS AND RESULTS: Patients with coronary heart disease (n=103; Canadian Cardiovascular Society class II to III; mean age, 58+/-6 years) were recruited in this randomized, placebo-controlled, double-blind phase II study. PTCA was performed with standard methods, followed by gene transfer with a perfusion-infusion catheter. Ninety percent of the patients were given stents; 37 patients received VEGF adenovirus (VEGF-Adv, 2x10(10) pfu), 28 patients received VEGF plasmid liposome (VEGF-P/L; 2000 microg of DNA with 2000 microL of DOTMA:DOPE [1:1 wt/wt]), and 38 control patients received Ringer's lactate. Follow-up time was 6 months. Gene transfer to coronary arteries was feasible and well tolerated. The overall clinical restenosis rate was 6%. In quantitative coronary angiography analysis, the minimal lumen diameter and percent of diameter stenosis did not significantly differ between the study groups. However, myocardial perfusion showed a significant improvement in the VEGF-Adv-treated patients after the 6-month follow-up. Some inflammatory responses were transiently present in the VEGF-Adv group, but no increases were detected in the incidences of serious adverse events in any of the study groups. CONCLUSIONS: Gene transfer with VEGF-Adv or VEGF-P/L during PTCA and stenting shows that (1) intracoronary gene transfer can be performed safely (no major gene transfer-related adverse effects were detected), (2) no differences in clinical restenosis rate or minimal lumen diameter were present after the 6-month follow-up, and (3) a significant increase was detected in myocardial perfusion in the VEGF-Adv-treated patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".