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Record W2942554308 · doi:10.1016/j.jvscit.2018.10.010

Renal artery reconstruction and kidney autotransplantation for Takayasu arteritis-induced renal artery stenosis

2019· article· en· W2942554308 on OpenAlexaff
Eugène Brailovski, Oren K. Steinmetz, Catherine Weber

Bibliographic record

VenueJournal of Vascular Surgery Cases and Innovative Techniques · 2019
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineRenal arteryRenal artery stenosisArteritisAutotransplantationKidneyRevascularizationSurgeryStenosisKidney diseaseSuperior mesenteric arteryRadiologyCardiologyInternal medicineTransplantation

Abstract

fetched live from OpenAlex

A young woman with Takayasu arteritis and complex renal artery stenosis in a solitary functional kidney underwent an ex vivo revascularization with autologous saphenous vein graft and renal autotransplantation. Before surgery, she had resistant hypertension and recurrent episodes of acute kidney injury. Two years later, her blood pressure is 123/77 mm Hg, and there have been no acute kidney injury episodes. Computed tomography scan demonstrates no abnormal thickening of the graft despite proximal progression of disease to involve the superior mesenteric artery. As Takayasu arteritis is a progressive disease, use of autologous vein graft, which is unlikely to become involved, is of paramount importance.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.031
GPT teacher head0.276
Teacher spread0.245 · 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 designBench or experimental
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

Citations3
Published2019
Admission routes1
Has abstractyes

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