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Record W2018594705 · doi:10.5301/jva.5000035

Evaluation of Central Vein Sizes in Patients with Autogenous Hemodialysis Fistulas

2012· article· en· W2018594705 on OpenAlexaff
Jaron A. Yau, Dheeraj K. Rajan

Bibliographic record

VenueThe Journal of Vascular Access · 2012
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHemodialysisVeinMedicineSurgery

Abstract

fetched live from OpenAlex

PURPOSE: To quantify diameters of central vein segments in patients with autogenous hemodialysis fistulas. MATERIALS AND METHODS: A retrospective review of patients within the last year who underwent arterial venous fistula assessment identified 218 patients. Of these, 32 also had computed tomography (CT) of the thorax performed from which venous sizes could be ascertained. Measurements in the axial plane (diameter) of the central veins were obtained from calibrated DICOM images. Additional demographic information including age, sex, and location of the fistula were also acquired to determine whether there was any correlation of these factors with the vein diameters. Variables were compared using the unpaired t test. RESULTS: There were 21 and 11 patients with left-sided and right-sided fistulas, respectively, with a mean age of 61.1 years. There was no statistically significant difference (P<.05) found between the diameter when comparing men to women (P=.93 to .22) or patient ages less than or greater than 70 years old (P=.95 to .11). The only statistically significant difference observed was when the fistula was located in the left arm, with the left axillary vein being larger than the right (11.4 ± 0.6 and 8.4 ± 0.6 respectively P=.003). The remaining vessels showed no statistically significant difference in size with respect to the fistula location (P=.75 to .07). CONCLUSIONS: The left axillary vein is significantly larger in patients who have a fistula located in the left arm compared to the right. Central vein sizes measured by CT correlate with sizes measured angiographically in prior retrospective studies.

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)0.007
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 score0.019
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.362
Teacher spread0.309 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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