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Record W4405014619 · doi:10.1016/j.jaccas.2024.102718

Percutaneous Excision of Left Atrial Myxoma Using Transcatheter Electrosurgery

2024· article· gl· W4405014619 on OpenAlexaff
Sami Kasbaoui, Jessica Forcillo, M. Riahi, Jean‐Bernard Masson

Bibliographic record

VenueJACC Case Reports · 2024
Typearticle
Languagegl
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsElectrosurgeryPercutaneousMedicineLeft Atrial MyxomaCardiologyBrachytherapyMyxomaInternal medicineSurgeryRadiologyLeft atriumRadiation therapyAtrial fibrillation

Abstract

fetched live from OpenAlex

Left atrial myxoma is the most prevalent primary cardiac tumor, known for its high risk of systemic embolization. Although surgical excision remains the standard treatment, options are limited for high-risk patients. This case report introduces a novel approach using transcatheter electrosurgery to address a left atrial myxoma via a transseptal approach in a patient ineligible for conventional surgery due to the heightened risk of intracranial hemorrhage associated with cerebral amyloid angiopathy. Despite encountering technical challenges, this innovative procedure represents a pioneering application of transcatheter surgery for managing left heart tumors.

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)0.001
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.299
Teacher spread0.279 · 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
Published2024
Admission routes1
Has abstractyes

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