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Record W2001929457 · doi:10.1097/hco.0b013e328341381a

Management of arrhythmias in patients with tetralogy of Fallot

2010· review· en· W2001929457 on OpenAlexafffund
Laurianne Le Gloan, Paul Khairy

Bibliographic record

VenueCurrent Opinion in Cardiology · 2010
Typereview
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsMontreal Heart InstituteUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsMedicineTetralogy of FallotCardiologyInternal medicineHeart disease

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Patients with tetralogy of Fallot are subject to arrhythmic sequelae that substantially impact morbidity and mortality. This review focuses on recent advances in our understanding of the prevalence and types of arrhythmias encountered. Diagnostic and prognostic tools are considered and therapeutic options discussed. RECENT FINDINGS: Multicenter studies have characterized the arrhythmia burden, assessed the impact of implantable cardioverter-defibrillators, and generated a risk score for primary prevention. Left ventricular hemodynamics are increasingly recognized as important contributors to risk for sudden death. Arrhythmia circuits have been characterized, and the impact of pulmonary valve replacement on sudden death has been further questioned. Recent studies cast doubt on the value of right ventricular pacing alone for cardiac resynchronization and provide a rationale for biventricular pacing. SUMMARY: Supraventricular arrhythmias exceed ventricular arrhythmias in prevalence, as atrial fibrillation increases with the aging population. Sudden death is the leading cause of late mortality, although therapeutic advances may alter this profile. Combinations of factors should be considered in risk stratification schemes to select appropriate implantable cardioverter-defibrillator candidates. The role of concomitant intraoperative ablation during pulmonary valve replacement surgery remains to be defined. Cardiac resynchronization therapy, particularly biventricular pacing, offers promise, but requires careful study before widespread implementation.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.836
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.371
Teacher spread0.308 · 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 designOther design
Domainnot available
GenreReview

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

Citations21
Published2010
Admission routes2
Has abstractyes

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