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Record W4392980108 · doi:10.1016/j.kint.2023.09.023

An unusual complication of arteriovenous fistula

2024· article· en· W4392980108 on OpenAlexafffundabout
Marc-Antoine Béland, Nicolas A.D. Bergeron, Mathieu Béland, Ludwig Haydock, Paul Isenring

Bibliographic record

VenueKidney International · 2024
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsMedicineArteriovenous fistulaForearmComplicationHemodialysisFistulaSurgeryHemodialysis accessVascular accessRadiology

Abstract

fetched live from OpenAlex

A 73-year-old woman undergoing hemodialysis began to develop small skin crusts over a 1.5-cm area in her left forearm, where repeated punctures had been performed to access a native radiocephalic fistula. Over several weeks, these crusts expanded progressively and merged into a single scab. Subsequently, the scab detached from the skin to reveal a large 0.5 by 1.0 cm ulcer that extended onto the surface of a venous stent (Figure 1a and b). There were no apparent signs of local infection, and wound cultures were negative. Antibiotics were administered for a duration of 4 weeks. A computed tomography angiogram of the left arm showed that the vein was patent and contained the stent at the site of exposure (Figure 1c). The forearm portion of the cephalic vein containing the stent was ultimately excised. The structure seen at the base of the ulcer was a Supera stent (Figure 1d) that had been deployed in the cephalic vein 2 years before to address an intractable stenotic lesion (Figure 1e). The complication of an exposed venous stent does not appear to have been reported in the literature. The ulcer likely occurred from repeated punctures, and the adjacent adventitial/medial wall also appeared to be affected by the degenerative process. As such, vascular integrity at this location was essentially secured by a thick intimal layer of hyperplastic and fibrotic tissue (Figure 1e). This complication should serve as a warning against overusing the same confined site to cannulate native hemodialysis accesses. All the authors declared no competing interests. This work was supported by the Canadian Institutes of Health and Research.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.037
GPT teacher head0.396
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes3
Has abstractyes

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