Efficacy of percutaneous angioplasty in non‐maturing Brescia‐Cimino fistulas
Bibliographic record
Abstract
Purpose: To evaluate efficacy of percutaneous transluminal angioplasty (PTA) in non‐maturing Brescia‐Cimino fistulas. Methods: Between January 1997 and December 2003, we treated 22 patients with non‐maturing Brescia‐Cimino fistulas by PTA. Retrospective analysis was performed on the findings of fistulogram, techniques and success rate of PTA, and patency rate. Results: Seventeen segmental stenoses and 5 segmental occlusions of cephalic veins were identified. Sixteen stenoses and 2 occlusions were located at the cephalic vein adjacent to the anastomosis site, and 3 occlusions and 1 stenosis were seen at the proximal vein near the elbow joint. In addition to venous stenosis, a focal arterial stenosis at the anastomosis site and two accompanying accessory veins that might hamper maturation of main cephalic vein was seen in each of two patients, respectively. Simultaneous occlusion of left innominate vein as well as occlusion of cephalic vein were noted in one patient. Initial success rate of PTA was 95.5%(21/22). Overall success rate including 11 additional PTAs performed during follow‐up was 96.9%(32/33). No major complication occurred. Primary and secondary patency rates were 72% and 95% at 3 months, and 50% and 77% at 6 months, respectively. Conclusion: PTA is an effective and safe method in salvaging non‐maturing Brescia‐Cimino fistulas.
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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 | 0.004 |
| 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".