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Record W2144207407 · doi:10.1177/152660280301000115

Endovascular Repair of a Ruptured Renal Artery Aneurysm

2003· article· en· W2144207407 on OpenAlexaff
Nathan P. Schneidereit, Shung Lee, Daniel C. Morris, Jerry C. Chen

Bibliographic record

VenueJournal of Endovascular Therapy · 2003
Typearticle
Languageen
FieldMedicine
TopicAbdominal vascular conditions and treatments
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineAneurysmRadiologyAsymptomaticStentThrombusSurgeryPercutaneousRenal arteryAngiographyComputed tomography angiographyCommon iliac arteryExtravasationKidneyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To describe the percutaneous treatment of a ruptured renal artery aneurysm (RAA) using a stent-graft. CASE REPORT: An 86-year-old woman had sudden onset of right-sided back pain and a swollen left leg. Computed tomography disclosed a right retroperitoneal mass involving the kidney; the inferior vena cava was compressed, with thrombus in the left common iliac artery. There was a suggestion of RAA associated with contrast extravasation. Angiography confirmed a saccular aneurysm of the distal right main renal artery immediately proximal to the first segmental branch. A Jostent peripheral stent-graft was implanted with complete exclusion of the lesion. At 6-month follow-up, the patient remained asymptomatic, but there was a suggestion of in-stent restenosis, which is being followed closely. CONCLUSIONS: In elderly patients who are hemodynamically stable and have aneurysm anatomy that is suitable for stent-graft placement, the endovascular approach may allow rapid and definitive treatment of the hemorrhage.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.259
Teacher spread0.241 · 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 designCase report
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

Citations26
Published2003
Admission routes1
Has abstractyes

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