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Record W2118527722 · doi:10.1177/1538574412467863

Patterns of Visceral and Renal Artery Involvement in Type B Aortic Dissections

2012· article· en· W2118527722 on OpenAlex
Pranavi Ravichandran, David M. Harrington, Marge Lovell, Jeremy R. Harris, Guy DeRose, Thomas L. Forbes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVascular and Endovascular Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineRenal arteryRight Renal ArteryCardiologyInternal medicineRadiologyKidney

Abstract

fetched live from OpenAlex

OBJECTIVE: The main objective of this study was to describe the visceral and renal vessel involvement and the outcomes in thoracic dissections. METHODS: Computed tomography scans of 39 patients were reviewed (30 type B, 9 type A). Visceral and renal arteries were recorded as perfused by the true lumen (TL) or false lumen (FL). Radiologic follow-up was 3.3 years (range 0-10). RESULTS: A total of 156 vessels were analyzed, and 49 (31%) were supplied by the FL. The most common patterns were FL supply of a renal artery (RA) with the visceral arteries and contralateral RA from the TL. In the follow-up, branch vessel compromise occurred in 12 vessels and was more likely to occur when supplied by the FL (P = .01). About 75% of the patients with at least 2 vessels supplied by the FL demonstrated aortic dilatation. CONCLUSIONS: Branch vessel occlusion is more likely in the vessels supplied by the FL. Aortic dilatation occurred more frequently when 2 or more vessels were supplied by the FL.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.247
Teacher spread0.218 · 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