Doenças coronarianas
Bibliographic record
Abstract
The DELIVER Clinical Trial was a randomized, single-blinded, parallel-group, multi-center, clinical evaluation of a non-polymeric delivery of paclitaxel -the Achieve TM stent, in the treatment of focal de novo coronary lesions. It was randomized to the stainless Multi-Link Penta TM stent. Objective: Assess angiographic binary restenosis at 240-days in a subset population from the DELIVER Trial. Methods: Between Nov/01 to Mar/02, 1,043 patients were randomized in two groups, implanting either the Achieve TM or ML Penta TM stent, in vessels with 2.5 to 4.0 mm in diameter. From this population, 442 patients completed angiographic follow-up at 8-month. QCA were performed in the postprocedure (PP) and follow-up (FU) angiograms. The angiographic endpoint was 50% decrease in binary restenosis (ABR) at 240-days with the Achieve TM stent. Results: Baseline clinical and angiographic characteristics had no significant difference between the two groups. (pre-procedure RVD was larger in the Achieve TM group). PP and FU angiographic in-stent data are shown in the table below. Quantitative Analyses ACHIEVE n=228 PENTA n=214 p PP Reference Vessel Diameter (RVD) mm 2.990.55 2.960.52 NS PP Minimum Lumen Diameter (MLD) mm 2.900.49 2.840.43 NS FU -MLD mm 2.080.75 1.860.71 0.001 Acute Gain -mm 1.910.51 1.910.41 NS Late Loss -mm 0.810.60 0.980.57 0.003 ABR 14.91% (34/228) 20.56% (44/214) 0.076 % DS 26.0821.85 30.8522.37 0.024 Predictors of ABR -Multivariate analysis P Odds Ratio 2.5 mm Stent Placed < 0.0001 5.775 [3.125, 10.67] Diabetes Requiring Rx 0.0045 2.244 [1.284, 3.921] IIb/IIIa Inhibitor Use 0.0088 2.321 [1.236, 4.358] Prior MI 0.0472 0.527 [0.280, 0.992]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".