Ulnar artery: The Ulysses ultimate resort for coronary procedures
Bibliographic record
Abstract
Despite the increasing worldwide adoption of the transradial access site, the ulnar artery (UA) only very infrequently serves as a primary option for coronary procedures. In contrast to the uncertainty surrounding previous reports regarding the feasibility and safety, recent data from larger registries and randomized trials provide more conclusive evidence that the transulnar route may be safely selected as an alternative arterial access approach. However, a default transulnar strategy appears time-consuming and is associated with higher crossover rates compared with the radial artery (RA). Once arterial access is obtained, the likelihood of a successful coronary procedure is high and similar between the two forearm arteries. The UA has similar flow-mediating vasodilating properties with and seems at least as vulnerable as the RA with regard to incident occlusion, with UA occlusion (UAO) rates being probably higher than previously anticipated. A learning curve effect may not be apparent for crossover rates among experienced radialists, but increasing experience is associated with reduction in the fluoroscopy time, contrast volume and frequency of large hematoma formation. The UA may represents an important alternative access site for coronary procedures, and experienced radial operators should obtain additional skills to perform the transulnar approach. Nevertheless, in view of this method's lower feasibility compared to the RA, an initial ulnar access strategy should be reserved for carefully selected patients to ensure satisfactory cannulation rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".