Letter by Spence et al Regarding Article, “Impact of Patient and Target-Vessel Characteristics on Arterial and Venous Bypass Graft Patency: Insight From a Randomized Trial”
Bibliographic record
Abstract
To the Editor:In their recent article 1 based on the 440 patients who underwent angiographic follow-up, Desai et al have proposed factors that may explain the superior radial artery compared with saphenous vein graft patency observed in their well-designed Radial Artery Patency Study. 2 We are interested in the model predictors chosen a priori on the basis of their presumed clinical relevance.Radial artery access for both diagnostic coronary angiography and intervention has become increasingly common owing to the almost negligible access-site complications and early patient mobilization with this approach. 3Nevertheless, concerns exist that previous radial artery instrumentation, including transradial catheterization, may render the radial artery unsuitable as a bypass graft. 4It is unclear from the published inclusion and exclusion criteria whether such patients were included in this trial. 5lthough severe peripheral vascular disease limiting vascular access was an exclusion criterion for the study, interestingly, 64 patients (15%) in this analysis had peripheral vascular disease, and its presence was detrimental to radial artery compared with saphenous vein graft patency. 1 As the authors state, a history of peripheral vascular disease is associated with an increased risk of radial artery atherosclerosis at the time of harvest, but it is also conceivable that these patients were more likely to have undergone previous transradial catheterization that injured the artery, causing the observed reduced patency.Given the potential for confounding, determining whether any of the radial artery grafts were previously instrumented is therefore vital in accurately interpreting these data.As advocates of transradial coronary catheterization, we hope that this excellent trial can also shed light on the vexatious issue of the suitability of the radial artery as a graft after instrumentation. 4
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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 | 0.014 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.022 | 0.017 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".