Impact of single-needle therapy in new chronic hemodialysis starts for individuals with arteriovenous fistulae.
Bibliographic record
Abstract
The native arteriovenous fistula (AVF) is the "gold standard" for hemodialysis (HD) vascular access. Unfortunately, AVFs can develop complications including inadequate maturation, cannulation difficulties and needle infiltration. In an effort to increase successful cannulations, decrease complications and subsequent central venous catheter (CVC) use, our centre introduced single-needle (SN) dialysis in April 2006 for new chronic patients receiving their first six HD treatments. The purpose of this study was to evaluate the impact of implementing SN dialysis on the incidence of CVC placements, investigative procedures required (e.g., arteriography), and missed HD treatments within the first three months of commencing dialysis. A secondary objective was to compare these data with double-needle (DN) dialysis treatments from the previous year. Retrospective chart reviews were conducted for all new chronic HD outpatient starts from April 2005 to 2006 for patients using DN dialysis and from April 2006 to November 2007 for those using SN. Information gathered included demographic data, location and vintage of the AVF, laboratory parameters, frequency of CVC placements, arteriography, and missed HD treatments due to cannulation difficulties. In total, data pertaining to 11 DN and 22 SN patients were collected. Of the 11 DN patients, 2 (18.2%) required a CVC placement in the first three months of treatment as compared to 2 (9.1%) using SN dialysis. Similarly, arteriographic investigations of the AVF were required in 4 (36.4%) DN versus 3 (13.6%) SN patients. There were a total of 19 missed treatments (8 DN; 11 SN). Dialysis blood work results were within safe and acceptable levels for those receiving SN dialysis. Use of SN dialysis for the first six HD treatments resulted in fewer mean CVC placements and investigations while main-raining adequate laboratory parameters. These results lend support for further research in this area.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".