Clinical Characteristics and Outcomes of Patients with Peripheral Artery Disease in the Prospective XATOA Registry Study
Bibliographic record
Abstract
fistulas and a similar proportion of brachiocephalic fistulas (n ¼ 54 [25.5%]), six (2.8%) first stage basilic vein transpositions, and four (1.9%) second stage basilic vein transpositions.There were 14 (5.2%) non-autogenous arteriovenous graft formations in 2019 versus 21 (9.9%) in 2020 (p < .05).There were 53 (19.5%) secondary vascular access procedures in 2019 versus 30 (14.1%) in 2020 (p < .05).The proportion of peritoneal dialysis catheter placements, repositioning, and catheter exchanges increased slightly.Forty-two (15.5%) procedures were done in 2019 versus 43 (20.3%) in 2020.The proportion of new peritoneal catheters was significantly higher in the year 2020 (p < .05).There were 35 (12.9%) new peritoneal dialysis catheter placements (nine laparoscopic/26 open insertions) in 2019, whereas in 2020 there were 38 (17.9%) n (one laparoscopic, 31 open and five percutaneous).There were no laparoscopic peritoneal dialysis catheter placements after the start of the pandemic.Conclusion: During the COVID-19 pandemic, there was a significant reduction in the total number of vascular access procedures performed and also secondary surgical interventions, but an increase in the use of arteriovenous grafts.The number of new peritoneal dialysis access increased despite overall reduction in the total number of procedures.Percutaneous peritoneal tube insertion technique was introduced during the pandemic to reduce hospital admissions while laparoscopic techniques were abandoned.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".