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Record W19957294 · doi:10.1093/joneph/20.3.288

Autogenous arteriovenous fistula options

2007· article· en· W19957294 on OpenAlexaff
Lawrence M. Spergel, Pietro Ravani, Arif Asif, Prabir Roy‐Chaudhury, Anatole Besarab

Bibliographic record

VenueJournal of Nephrology · 2007
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineArteriovenous fistulaFistulaHemodialysisHemodialysis accessVascular accessForearmMultidisciplinary approachGeneral surgeryIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

The Fistula First Breakthrough Initiative (FFBI) shows that development of multidisciplinary teams with designated vascular access coordinators is the key to success in increasing the appropriate use of the arteriovenous fistula as access for hemodialysis. Since nephrologists should communicate expectations to surgeons regarding fistula placement and their ability to use the access repeatedly, current surgical techniques based on KDOQI guidelines and best practices are summarized in this review. These may serve also as bases for the education of the surgical community. Autogenous fistula options include primary native fistula creation in the forearm, arm and lower extremity which can be direct or based on transposed or translocated venous vessels. Optimizing autogenous options for hemodialysis requires vessel mapping and a surgeon's willingness to invest additional time and effort.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.039
GPT teacher head0.366
Teacher spread0.327 · 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 designNot applicable
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

Citations34
Published2007
Admission routes1
Has abstractyes

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