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Record W2888529782 · doi:10.1097/imi.0000000000000542

Mini Right Anterior Thoracotomy Approach versus Sternotomy for Resection of Intracardiac Myxoma

2018· article· en· W2888529782 on OpenAlexaffabout
Mariam Ellouze, Michel Pellerin, Hugues Jeanmart, Jean-Sébastien Lebon, Denis Bouchard

Bibliographic record

VenueInnovations Technology and Techniques in Cardiothoracic and Vascular Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsHôpital du Sacré-Cœur de MontréalUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineThoracotomyIntracardiac injectionMedian sternotomyMyxomaIntensive care unitSurgeryCardiopulmonary bypassCardiac surgeryAnesthesiaCardiologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The standard approach in treating cardiac myxoma is the median full sternotomy. After recent advances in surgical techniques, the mini right anterior thoracotomy has emerged as an alternative method. METHODS: We performed a retrospective study to compare the clinical outcomes of the mini right anterior thoracotomy approach with those of the sternotomy approach for resection of cardiac myxoma at the Montreal Heart Institute. There were 20 patients treated using a mini right anterior thoracotomy (4-5 cm) and 23 patients were treated using a median sternotomy. RESULTS: No early mortalities were found in either group. Although the cardiopulmonary bypass time and aorta cross-clamp time were not significantly different between the two groups (64.3 mn ± 18 and 37.2 mn ± 15 vs 54.3 mn ± 25 and 37.20 mn ± 2), preoperative blood loss (106 mn ± 95 vs 338 mn ± 270) was significantly less in the mini right anterior thoracotomy group. The intensive care unit and hospital stay (1.65 days ± 1.2 and 5.70 days ± 3) were shorter with the mini right anterior thoracotomy approach. CONCLUSIONS: A minimally invasive surgery through mini right anterior thoracotomy is a good alternative technique for treating cardiac myxoma. Despite the small size of the experience, there is a clear diminution in preoperative blood loss and an interesting trend toward a shorter intensive care unit and hospital stay.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.319
Teacher spread0.299 · 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 designObservational
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

Citations12
Published2018
Admission routes2
Has abstractyes

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