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Record W4319442059 · doi:10.1016/j.hrcr.2023.01.013

Cardioneuroablation for swallowing-induced syncope: To pace or to ablate, that is the question

2023· article· en· W4319442059 on OpenAlexaff
Andrés F. Miranda‐Arboleda, Cengiz Burak, Hoshiar Abdollah, Adrián Baranchuk, Tolga Aksu, Andrés Enríquez

Bibliographic record

VenueHeartRhythm Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsMedicineAsystoleFluoroscopyAtrioventricular blockAblationSwallowingSyncope (phonology)DenervationRefractory (planetary science)CardiologyAnesthesiaRadiofrequency ablationInternal medicineSurgery

Abstract

fetched live from OpenAlex

Key Teaching Points•Cardioneuroablation can be considered as an alternative to pacing in selected patients with swallow syncope that are refractory to conservative management.•The sites and extent of ablation depend on the type of cardioinhibitory response (asystole vs atrioventricular block), although a complete vagal denervation involving both atria probably offers the best chances of clinical success.•Zero-fluoroscopy is a feasible approach for cardioneuroablation that minimizes the effects of radiation exposure for patients and health care staff. •Cardioneuroablation can be considered as an alternative to pacing in selected patients with swallow syncope that are refractory to conservative management.•The sites and extent of ablation depend on the type of cardioinhibitory response (asystole vs atrioventricular block), although a complete vagal denervation involving both atria probably offers the best chances of clinical success.•Zero-fluoroscopy is a feasible approach for cardioneuroablation that minimizes the effects of radiation exposure for patients and health care staff.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.334
Teacher spread0.291 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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