Effects and follow-up results of percutanous transluminal laser myocardial revascularization for treatment of serious coronary disease
Bibliographic record
Abstract
Objective To report the effects and follow-up results of percutanous transluminal laser myocardial revascularization(PMR) for the treatment of serious coronary disease.Methods PMR procedure was finished by Eclipse TMR 2000DP holmium YAG system.Laser energy,wavelength and pulse wide were 4.0J,2.1uM and 200uS respectively.Results The PMR procedures were successfully completed in all the patients.Average amount of laser channels was 22±6 for each case.After PMR,the clinical conditions significantly improved,including Canada Cardiac Society(CCS) angina pectoris class reduction from 3.2±0.4 to 0.5±0.6(P0.01),the CCS class decrease ≥Ⅱ class and angina pectoris disappeare in 29 of 34 caseas(85.3%).At follow-up for(48±9) months,average CCS class was 0.7±0.8 and the class decreased at ≥Ⅱ class in 27 of these 34 cases(79.4%).LVEF(22 cases) was increased significantly(0.45±0.12 to 0.57±0.13,P 0.01),ischemic ST-T change of ECG and myocardial perfusion state detected by ECT(13 cases) were improved.Premature ventricular contractions were observed at project laser in all the patients.Pericardial tamponade occured in 3 cases,one of these 3 patients was death due to cardiac shock.Conclusion PMR is a safe and effective therapeutic option in the patients with refractory angina pectoris and serious coronary lesion.It significantly improves myocardial ischemia and clinical symptoms.
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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 | 0.002 |
| 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 | 0.000 | 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".