Robotically Assisted, Completely Endoscopic Transmyocardial Revascularization is Feasible
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to assess the feasibility of an endoscopic, optical-fiber-based, laser delivery system (LDS) developed to perform sole-therapy transmyocardial revascularization (TMR) in a totally endoscopic, robotically assisted operation. METHODS: Forty-two patients were enrolled in a multicenter, prospective, single-arm clinical trial conducted at four US centers between 2005 and 2007. Transmyocardial revascularization was performed completely endoscopically with robotic assistance, introducing the Holmium:Yttrium aluminum garnet (YAG) LDS via a 5-mm port. Completion of the operation endoscopically defined procedural success. Clinical data were recorded before, during, and at least 30 days after the procedure. RESULTS: All patients had Canadian Cardiovascular Score angina class IV at baseline. The mean ejection fraction was 49% (range [R], 28-71), the mean age was 59.1 years (R, 36-80), 71% (30/42) were men, 86% (36/42) underwent previous coronary artery bypass grafting surgery, and 76% (32/42) underwent prior coronary stenting. Procedural success was accomplished in 93% (39/42). For the procedural successes, the mean number of TMR channels was 32 (R, 16-50), the median operative time was 88 minutes (R, 48-250 minutes), and the median length of stay postoperatively was 2.5 days (R, 1-10). There was no operative or 30-day mortality, and no patient received any transfusion. At 30 days, freedom from major adverse cardiac events was 95% (two patients had transient congestive heart failure). At the median 6-month follow-up (single-center data, n = 12), the mean (SD) Canadian Cardiovascular Score angina score was 1.3 (0.05) (P < 0.001 vs baseline). CONCLUSIONS: Robotically assisted TMR can be performed using an endoscopic, optical-fiber-based LDS, with high procedural success, avoidance of early adverse clinical events, and potential for successful angina relief.
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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 | 0.000 |
| 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".