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Record W2573695487 · doi:10.12945/j.aorta.2016.16.040

Conservative Management of Extensive Iatrogenic Aortic Dissection

2016· article· en· W2573695487 on OpenAlex
Derrick Y. Tam, Amine Mazine, Asim N. Cheema, Bobby Yanagawa

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

VenueAorta · 2016
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineConventional PCIAortic dissectionSurgeryOstiumAscending aortaDissection (medical)Percutaneous coronary interventionAortic archAortaPercutaneousMyocardial infarctionRadiologyCardiology

Abstract

fetched live from OpenAlex

Iatrogenic aortic dissection (IAD) is a rare complication of percutaneous coronary interventions (PCI). There are no clear guidelines for IAD management, and limited data are available. Registry data and case series combined with extrapolations from our experience with spontaneous Type-A dissections suggest that very limited dissections are often managed conservatively with coronary stenting of the entry tear when possible, while more extensive dissections are managed surgically. We present a case report of a 50-year-old woman who underwent PCI for an ST-elevation myocardial infarction that resulted in an extensive IAD from the ostium of the right coronary artery to the aortic root, ascending aorta, and aortic arch. While the current evidence strongly supports surgical management of such extensive dissection, our patient was successfully managed conservatively with complete resolution according to short-term computed tomography imaging. This case suggests that conservative management may be a reasonable approach for select patients with extensive IAD.

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 score0.130
Threshold uncertainty score0.213

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 head0.024
GPT teacher head0.281
Teacher spread0.257 · 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