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Record W2104420409 · doi:10.5301/jva.5000017

A Single Center Study of Clinical Success in Radiocephalic Fistula Creation

2011· article· en· W2104420409 on OpenAlexaff
Khumar Huseynova, Christiane C.F. Werneck, Marc Pope

Bibliographic record

VenueThe Journal of Vascular Access · 2011
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsTrillium Health Centre
Fundersnot available
KeywordsMedicineSurgeryArteriovenous fistulaTourniquetFistulaRetrospective cohort studySingle CenterHemodialysis accessCephalic veinAnastomosisForearmVascular accessLigationVeinHemodialysis

Abstract

fetched live from OpenAlex

PURPOSE: To compare standard methods (control) with a new protocol for radiocephalic fistula (RCF) creation involving ultrasound vein mapping by the surgeon in the operating room, ligation of cephalic vein branches in the lower forearm, and use of a tourniquet for the arteriovenous anastomosis. METHODS: This is a retrospective cohort study of patients who underwent radiocephalic fistula creation between April 2008 and March 2010 in a regional vascular center. Patients were identified retrospectively by reviewing hospital operating room and office billing records. The electronic charts of all patients were reviewed. The primary endpoint was functional RCF patency at last follow-up. RESULTS: A total of 118 patients underwent arteriovenous (AV) fistula creation by 3 surgeons during the two-year study period. Of these, 59 patients underwent RCF creation, 33 of whom were managed using the new protocol. The two groups were comparable, except for age (66 in the study group vs. 60 in the control group, P=.04). Tourniquet use shortened operative time from 48 to 36 minutes (P=.04). Functional patency was 82% vs 77% (P=.64). CONCLUSION: The new protocol for RCF creation results in shorter operative times and high functional patency rates.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.186
GPT teacher head0.458
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2011
Admission routes1
Has abstractyes

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