MétaCan
Menu
Back to cohort
Record W4417477328 · doi:10.1080/14796678.2025.2605920

A massive left atrium in the context of severe mitral regurgitation: a case report

2025· article· en· W4417477328 on OpenAlexaff
Ryaan EL‐Andari, Zachary Davidson, Jeevan Nagendran

Bibliographic record

VenueFuture Cardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDilation (metric space)Transesophageal echocardiogramAtrial fibrillationMitral regurgitationMitral valveHeart failureThrombusContext (archaeology)

Abstract

fetched live from OpenAlex

Mitral regurgitation (MR) is among the most common heart conditions. Untreated, severe MR may result in adverse cardiac remodeling, atrial fibrillation (AF), and heart failure. A 45-year-old male with a history of AF presented with heart failure symptoms. Transesophageal echocardiogram revealed a myxomatous mitral valve with anterior leaflet prolapse, severe MR, and massively dilated left atrium (LA). A computerized tomography scan found severe LA dilation up to 17.8 cm. The patient underwent mitral valve replacement, tricuspid valve repair, and LA reduction. MR is known to result in LA dilation due to increased LA volume and pressure. While large LA sizes have been reported, they are often related to congenital conditions and rarely grow to the size identified in this case. AF and LA dilation both predict adverse outcomes, increasing the risk of thrombus formation in such a large chamber.

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)0.001
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 score0.008
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.002
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.319
Teacher spread0.311 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueFuture CardiologySame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207