Enhanced Training in Vascular Access Creation Predicts Arteriovenous Fistula Placement and Patency in Hemodialysis Patients
Bibliographic record
Abstract
In Brief Objective: To investigate whether intensity of surgical training influences type of vascular access placed and fistula survival. Summary Background Data: Wide variations in fistula placement and survival occur internationally. Underlying explanations are not well understood. Methods: Prospective data from 12 countries in the Dialysis Outcomes and Practice Patterns Study were analyzed; outcomes of interest were type of vascular access in use (fistula vs. graft) in hemodialysis patients at study entry and time from placement until primary and secondary access failures, as predicted by surgical training. Logistic and Cox regression models were adjusted for patient characteristics and time on hemodialysis. Results: During training, US surgeons created fewer fistulae (US mean = 16 vs. 39–426 in other countries) and noted less emphasis on vascular access placement compared with surgeons elsewhere. Significant predictors of fistula versus graft placement in hemodialysis patients included number of fistulae placed during training (adjusted odds ratio [AOR] = 2.2 for fistula placement, per 2 times greater number of fistulae placed during training, P < 0.0001) and degree of emphasis on vascular access creation during training (AOR = 2.4 for fistula placement, for much-to-extreme emphasis vs. no emphasis, P = 0.0008). Risk of primary fistula failure was 34% lower (relative risk = 0.66, P = 0.002) when placed by surgeons who created ≥25 (vs. <25) fistulae during training. Conclusions: Surgical training is key to both fistula placement and survival, yet US surgical programs seem to place less emphasis on fistula creation than those in other countries. Enhancing surgical training in fistula creation would help meet targets of the Fistula First Initiative. Surgical practices related to vascular access creation for hemodialysis were examined in 12 countries. Creation of more arteriovenous fistulae during surgical training was associated with greater odds of fistula creation in practice and superior fistula survival. Greater emphasis on fistula procedures during surgical training could improve both fistula placement and survival rates.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".