Effect of percutaneous transluminal coronary angioplasty in patients with chronic occlusion of right coronary artery on clinical characteristics and stress MRI indicators in postoperative period
Bibliographic record
Abstract
Objective. In the last few years CTO angioplasty technique has shown high rates of procedural success and low rates of complications, but benefits from CTO recanalization are still not clear. In this report, the authors try to evaluate the effectiveness of CTO recanalization and discuss the diagnostic tool that might improve the appropriateness of CTO percutaneous coronary intervention. Methods. We examined and treated 72 patients, with 39 patients undergoing CTO-PCI of the right coronary artery (Group 1) and 33 receiving medical therapy only (Group 2). The perfusion areas of the CTO vessel and the clinical status of patients were evaluated. The follow-up period was 2 and 12 months. Results. According to stress MRI data, throughout the study, patients who underwent RCA stenting had a significantly higher risk of reducing the functional class of heart failure, the best performance at 6-min treadmill test and a low class of angina (below III), as well as a decreased number of perfusion defect points (less than 5) as compared with those of the control group (p<0.001). In addition, the quality of life of patients in the intervention group consistently exceeded that in the control group. Conclusion. CTO recanalization as compared to medical therapy only noticeably improves clinical outcomes of isolated CTO. Our findings correlate with stress MRI results.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".