Effect of percutaneous laser transmyocardial revascularization on angina pectoris in elderly patients with end-stage coronary heart disease
Bibliographic record
Abstract
Objective To observe the clinical efficacy of percutaneous transmyocardial revascularization with holmium: YAG laser on the angina pectoris in elderly patients with end-stage coronary heart disease.Methods 16 cases of angina pectoris in elderly patients with end-stage coronary heart disease were treated by using percutaneous transmyocardial revascularization (PTMR) with holmium: YAG laser.Results To test the clinical efficacy of PTMR, the angina pectoris class of Canadian Cardiovascular Society (CCS) and Naughton exercise ischemic threshold, as expressed by time to 1-mm ST segment depression, were examined before and 1-month and 3-month after PTMR. The number of channels created by PTMR were from 5～15 with an average of 9±4. The mean CCS class was 3.3±0.6 before PTMR and fell to 2.0±0.9(P0.0001)at 1-month and to 2.1±1.0(P0.0001)at 3-month after PTMR, respectively. Time to 1-mm ST segment depression was 320±136 sec before PTMR,397±170 sec at 1-month and 430±307 sec at 3-month after PTMR, respectively.Conclusions The present clinical observation demonstrates that PTMR can be used as a novel therapeutic approach for elderly patients with end-stage angina pectoris untreatable by PTCA and CABG.
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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".