Determinants of procedural outcome of chronically implanted pacemaker and defibrillator leads using the Excimer laser sheath: Table 1
Bibliographic record
Abstract
The extraction of chronic pacemaker and internal cardioverter defibrillator leads is performed for a number of reasons including chronic infection, lead dysfunction, and venous obstruction. Traditionally leads were removed by traction which is associated with a high incidence of failure and serious complications. This has led to the introduction of laser lead extraction (LLE) which is a safe and reliable method with a success rate of over 90%.1 We prospectively examined the procedural success and safety of LLE over a two year period in our institution. We also examined whether procedural outcome could be predicted by baseline variables. All patients gave full written informed consent for extraction procedures. LLE was performed if simple traction had failed. Fluoroscopy was used to monitor all transvenous manoeuvres. LLE was performed using previously described techniques1 with a Spectranetics Model CVX-300 Excimer Laser System (Spectranetics, Colorado Springs, USA) in combination with a Spectranetic laser sheath and a Cook Byrd Dilator Sheath stylet (Cook Vascular, Leechburg, Pennsylvania, …
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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 | 0.003 |
| 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) | 0.004 | 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".