Hemodialysis Arteriovenous Access Cosmesis Scale (AVACS): A new measure for vascular access
Bibliographic record
Abstract
RATIONALE AND OBJECTIVE: This study aimed to develop a cosmesis scale to evaluate the cosmetic appearance of hemodialysis (HD) arteriovenous (AV) accesses from the perspective of the patient and clinician, which could be incorporated into clinical trials. STUDY DESIGN: Using a modified Delphi process, two AV access cosmesis scale (AVACS) components were developed in a four-round Delphi panel consisting of two surveys and two consensus meetings with two rounds of patient consultation. SETTING AND PARTICIPANTS: The Delphi panel consisted of 15 voting members including five interventional or general nephrologists, five vascular surgeons, three interventional radiologists, and two vascular access nurse coordinators. Four patients experienced with vascular access were involved in patient question development. ANALYTICAL APPROACH: For a component to be included in the AVACS, it had to meet the prespecified panel consensus agreement of ⩾70%. RESULTS: The clinician component of the AVACS includes nine questions on the following AV access features: scarring, skin discoloration, aneurysm/pseudoaneurysms and megafistula appearance. The patient component includes six questions about future vascular access decisions, interference with work or leisure activities, clothing choices, self-consciousness or attractiveness, emotional impact, and overall appearance. LIMITATIONS: Delphi panel methods are subjective by design, but with expert clinical opinion are used to develop classification systems and outcome measures. The developed scale requires further validation testing but is available for clinical trial use. CONCLUSIONS: While safety and efficacy are the primary concerns when evaluating AV access for HD, cosmesis is an important component of the ESKD patient experience. The AVACS has been designed to assess this important domain; it can be used to facilitate patient care and education about vascular access choice and maintenance. AVACS can also be used to inform future research on developing new techniques for AV access creation and maintenance, particularly as relates to AV access cosmesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".