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Record W2111078622 · doi:10.1177/153857440503900507

Outcomes of Hemodialysis-Dependent Patients Following Elective Abdominal Aortic Aneurysm Repair

2005· article· en· W2111078622 on OpenAlexaff
Thomas L. Forbes, Debbie A. Lawlor

Bibliographic record

VenueVascular and Endovascular Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineHemodialysisSurgeryAbdominal aortic aneurysmEndovascular aneurysm repairIntensive care unitAortic aneurysmCohortAneurysmPerforationInternal medicine

Abstract

fetched live from OpenAlex

As hemodialysis-dependent patients have a shorter life expectancy it has been recently questioned whether they benefit from procedures such as abdominal aortic aneurysm (AAA) repair. The purpose of this study was to review our results with elective AAA repair in hemodialysis-dependent patients. During a recent 6-year period (1998-2003), 7 such patients underwent elective repair of their infrarenal aortic aneurysms. Mean age and aneurysm diameter were 71 years and 69 mm, respectively. Mean length of stay was 28.6 days including routine intensive care unit admission. Three patients underwent standard open repair, and 3 underwent endovascular repair. In the seventh patient iliac calcification precluded endograft delivery and resulted in conversion to open repair. Another endovascular patient suffered from perforation of her sigmoid colon. One- and 3-year survival rates in the entire cohort were 100% and 75%, respectively. The authors conclude that aneurysm repair in hemodialysis patients is warranted and life prolonging in appropriate risk patients, despite lengthy hospital stays. However, successful endovascular repair may be prevented by the severe arterial calcification in these patients.

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)0.004
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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