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Record W2167997863 · doi:10.1111/hdi.12151

Association between vascular access type and patient mortality among elderly patients on hemodialysis in <scp>C</scp>anada

2014· article· en· W2167997863 on OpenAlexaffvenueabout
Joyce C. Zhang, Ahmed A. Al‐Jaishi, Yingbo Na, Eric de, Louise Moist

Bibliographic record

VenueHemodialysis International · 2014
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsCanadian Institute for Health InformationLondon Health Sciences CentreInstitute for Clinical Evaluative SciencesWestern University
Fundersnot available
KeywordsMedicineHemodialysisComorbidityArteriovenous fistulaVascular accessCohortInternal medicinePopulationCatheterProportional hazards modelSurgery

Abstract

fetched live from OpenAlex

Optimal vascular access in elderly patients requires consideration of the benefits and risks in a population with increased comorbidity and mortality. Our objective was to examine the association between vascular access type and patient mortality by age category among incident adult hemodialysis patients registered in the Canadian Organ Replacement Register between 2001 and 2010. We also describe the secular trend in incident and prevalent vascular access use. We used a Cox proportional hazards model to evaluate the overall mortality in patients aged less than 65, 65-74, 75-85, and greater than 85 years who initiated hemodialysis using a central venous catheter (catheter) or arteriovenous (AV)-access (fistula or graft) using an intention-to-treat approach. The cohort of 39,721 patients consisted of 42%, 27%, 26%, and 5% of patients aged <65, 65-74, 75-85, and >85, respectively. Patients who initiated hemodialysis using an AV-access constituted 21%, 22%, 20%, and 15% of each age category. AV access use was associated with lower adjusted mortality compared with catheter use in each age category (Hazard Ratios [HR], 0.67; 95% Confidence Interval [0.62-0.72]; HR, 0.76 [0.63-0.91]; HR, 0.77 [0.64-0.93], HR, 0.73 [0.56-0.96], respectively). In Canada, use of an AV-access is associated with lower mortality across all age categories, even in the very elderly. Further studies are required to understand the patient preference, complications, and resource use when selecting access type in the elderly.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.324
Teacher spread0.296 · 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.

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

Citations40
Published2014
Admission routes3
Has abstractyes

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