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Why Do So Many Patients Have a Dialysis Catheter and Not Arteriovenous Fistulae or Grafts?

2004· article· en· W1560929051 on OpenAlexvenueno aff
Laura Troidle, T. Eisen, F.O. Finkelstein

Bibliographic record

VenueHemodialysis International · 2004
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisDialysis catheterDialysisArteriovenous fistulaCatheterEnd stage renal diseaseNephrologySurgeryVascular accessSingle CenterHemodialysis Catheter

Abstract

fetched live from OpenAlex

The Dialysis Outcome and Quality Initiative has guidelines for vascular access and states that the dialysis catheter (DC) should be limited to less than 20% of the end‐stage renal disease (ESRD) patients. Our center has found this target difficult to achieve. Objective: We wondered what the reasons for use of a DC might be. Methods: We noted the number of patients with a DC in place and assessed the reasons why the DC was being used on 8/1/03. Results: 73 of the 170 (42.9%) patients had a DC on 8/1/03. 24 (32.9%) of the patients refused to have initial arteriovenous fistulae or grafts (AVF/G) or a secondary AVF/G revision or replacement procedure performed after initial AVF/G failure. 15 (20.5%) patients had a maturing AVF/G, 12 (16.4%) had significant medical and/or surgical contraindications for AVF/G placement, 9 (12.3%) patients were awaiting surgical thrombectomy, revision or placement of AVF/G, 6 patients (8.2%) were awaiting transfer to CPD therapy, 4 (5.5%) patients were undecided about having an AVF/G placed, and 1 (1.4%) had acute renal failure and early ESRD recovery was expected. Only 2 (2.7%) patients had no access plan by the nephrology team. Conclusions: Patients' refusal for an AVF/G placement and patients with a maturing AVF/G or awaiting surgical revision or placement were the most common reasons for the use of a DC in our center. To significantly impact on the high use of the DC, it would be crucial to better understand the reasons for patients’ refusals.

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)0.002
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.027
GPT teacher head0.317
Teacher spread0.290 · 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 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
Published2004
Admission routes1
Has abstractyes

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