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Record W3142481651 · doi:10.1093/europace/euw028

Surgical ablation in patients undergoing mitral valve surgery: impact of lesion set and surgical techniques on long-term success

2016· letter· en· W3142481651 on OpenAlexaff
Frédéric Jacques, François Philippon

Bibliographic record

VenueEP Europace · 2016
Typeletter
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut Universitaire de Cardiologie et de Pneumologie de Québec
Fundersnot available
KeywordsMedicineAblationSurgeryMitral valveLesionMitral valve replacementCardiology

Abstract

fetched live from OpenAlex

The study by Gelsomino et al. published in December 2015 in the Europace underlines the importance of technical elements on which we want to comment.1 First, it underlines the importance of biatrial ablation lesion sets to obtain clinical success with modified Maze procedures. This is in complete concordance with the fundamental work of Cox et al.2 One cannot expect to replicate such a comprehensive pathophysiological management with only half of the work.3 The authors are right in stating the obvious. Second, regarding the mitral isthmus, the manuscript discusses the importance of unfolding the inner atrial surface to avoid ‘crevices’ and create effective electrical isolation within the tissue. This is an elementary concept, but its non-observance would inevitably lead to unsuccessful results. When the Cox-Maze III cut-and-sew procedure was performed, not only the lesions were de facto transmural, but arrhythmia surgery itself was performed only by dedicated surgeons. With advances of less cumbersome approaches using alternative energy sources, the modified procedure became more popular which increased access for patients with atrial fibrillation but also moved the technique away from expert hands.4 The electromechanical rationale behind the Maze procedure was replaced, at least sometimes, by the simple replication of a recipe. The authors are completely right in putting fundamental concepts upfront. Third, the authors introduce the fact that cryosurgery should be compared with radiofrequency regarding the proximity of the mitral annulus. This is an important element to investigate, but we propose an alternative explanation for the failure of radiofrequency procedures. The authors state that thickness of the atrioventricular groove explains why energy cannot be appropriately delivered into the tissue to create a proper transmural lesion up to the level of the annulus. This can be true. However, surgeons' fear regarding damaging the mitral annulus or posterior leaflet or the coronary arteries can overcome their fear of leaving a muscle bridge at proximity of the annulus. The desire of not doing harm to patients can sure be stronger than the desire of curing the atrial fibrillation. This state of mind is certainly prevalent amongst surgeons that have less understanding of the pathophysiological basis of arrhythmia. Unfortunately, this muscle bridge might not only leave patients with unsuccessful procedures but in fact creates more significant arrhythmias as well. Patients may then suffer from left-sided atrial flutter, which is difficult to treat medically and often worse than atrial fibrillation itself since ventricular response rate is difficult to control.5 When patients have undergone concomitant mechanical mitral valve replacement, percutaneous transseptal catheter ablation to address residual left atrial flutter can be challenging, risky, and sometimes not feasible. For that reason, using cryoablation in proximity of valvular structures and coronary arteries may lead to less injury and consequently better surgical confidence and clinical outcomes.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0030.003
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 head0.023
GPT teacher head0.351
Teacher spread0.328 · 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 designObservational
Domainnot available
GenreOther

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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