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Record W4245454452 · doi:10.14740/jmc2405w

Management of a Heart Myxoma Through a Right Thoracotomy in a Patient With a Previous Sternotomy

2016· article· en· W4245454452 on OpenAlexvenueno aff
Georgios P. Sotiropoulos, Maria Chounti, Panagiotis Hountis, Konstantinos A. Plestis

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThoracotomyMedian sternotomyMyxomaCardiopulmonary bypassPerioperativeMediastinumSurgeryLeft Atrial MyxomaCardiologyPericardiumInternal medicineLeft atriumAtrial fibrillation

Abstract

fetched live from OpenAlex

Myxoma is the most common benign cardiac tumor, presenting most frequently in the left atrium. Median sternotomy has been traditionally used to provide access to the heart and the mediastinal structures in cardiac operations. Recently, right thoracotomy and minithoracotomy have been used as an alternative. We present a case of a patient with left atrial myxoma, who had been subjected to coronary artery bypass graft 2 years ago. The previous full median sternotomy urged the need for another approach. A right lateral thoracotomy with one lung ventilation was chosen, offering excellent access to the heart and mediastinum. The patient was set under cardiopulmonary bypass and cardioplegia and the mass was excised through a left atrial incision. The perioperative course was free of complications. We suggest that right thoracotomy is a safe and efficient way of treating cardiac tumors in selected patients, when median sternotomy is considered complicated, not possible or contraindicated. J Med Cases. 2016;7(2):52-53 doi: http://dx.doi.org/10.14740/jmc2405w

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 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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.302
Teacher spread0.288 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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