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Record W2748559301 · doi:10.14740/cr567w

Ischemic Stroke in a Patient With Quadricuspid Aortic Valve and Patent Foramen Ovale

2017· article· en· W2748559301 on OpenAlexvenueno aff
Μichael Spartalis, Eleni Tzatzaki, Eleftherios Spartalis, Christos Damaskos, Dimitrios Moris, Dimitrios Tsiapras, Vassilis Voudris

Bibliographic record

VenueCardiology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePatent foramen ovaleCardiologyInternal medicineRegurgitation (circulation)Bicuspid aortic valveAortic valveAbnormalityStroke (engine)Foramen ovale (heart)

Abstract

fetched live from OpenAlex

Quadricuspid aortic valve (QAV) is a rare congenital aortic valve abnormality. It is less common as compared to bicuspid or unicuspid aortic valve abnormality. QAV causes aortic regurgitation usually in the fifth to sixth decade of life. We present a rare case of a female patient with cryptogenic stroke due to a QAV and a patent foramen ovale (PFO). The patient underwent transcatheter closure of PFO, as there was no clear indication for surgery for her valve. Surgical removal remains the method of choice for the treatment of the QAV before left ventricular decompensation occurs.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.133
GPT teacher head0.368
Teacher spread0.236 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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