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Record W2145355570 · doi:10.1161/circ.105.10.e58

Acute Mitral Regurgitation Due to a Torn Porcine Bioprosthetic Cusp

2002· article· en· W2145355570 on OpenAlexaff
Jagdish Butany, Bryan Dias, P. Iyengar, Richard L. Leask, Stephanie J. Brister

Bibliographic record

VenueCirculation · 2002
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineMitral regurgitationUniversity hospitalGeneral hospitalGeneral surgeryCardiac surgeryInternal medicineCardiology

Abstract

fetched live from OpenAlex

A46-year-old man presented with a 48-hour history offevers, sweats, and dyspnea. He had bacterial endocar-ditis of the native mitral valve 12 years earlier with subse-quent mitral valve replacement (MVR) with a Hancock II porcine valve (Medtronic Inc). Examination revealed a Grade 3/6 holosystolic murmur at the apex radiating into the axilla with crackles heard halfway up both lung fields. A diagnosis of infective endocarditis with acute mitral regurgitation (MR) was made and serial blood cultures drawn. Transesophageal echocardiogram (TEE) revealed severe MR (Figure 1). The MR was transvalvular with no perivalvular leak.1–3 A large mobile linear echodense mass (length2.0 cm) was seen in the left ventricle and this prolapsed across the valve into the left atrium (LA, Figure 2 through 4) along with partial prolapse of one of the leaflets of the valve (Figure 3 and 4). The patient underwent urgent mitral valve replacement where

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)0.004
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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