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Record W2058937158 · doi:10.1159/000318307

Long-Term Follow-Up of the First Patients to Undergo Transcatheter Alcohol Septal Ablation

2010· article· en· W2058937158 on OpenAlexaboutno aff
Jonathan Lyne, Trevor J. Kilpatrick, Alison Duncan, C Knight, Ulrich Sigwart, Kim Fox

Bibliographic record

VenueCardiology · 2010
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlcohol septal ablationTerm (time)AblationMedicineCardiologyInternal medicinePhysics

Abstract

fetched live from OpenAlex

We describe the 10-year outcome of the first-in-human series of 12 patients with hypertrophic cardiomyopathy treated with alcohol septal ablation. There was no 30-day mortality. Survival free of death, internal cardiac defibrillator discharge for treatment of ventricular fibrillation or tachycardia, severe New York Heart Association (NYHA) class III/IV and/or Canadian Cardiovascular Society class III/IV symptoms and the need for surgical myectomy in this cohort was 91% at 1 year and 73% at 10 years. The reduction in outflow tract gradient was maintained over the 10 years, from a mean preoperative gradient of 70 mm Hg to a median of 3 mm Hg at 126 months of follow-up (p < 0.01). Two patients (16%) underwent a further ablation procedure. Two patients (16%) suffered sudden cardiac death, 91 and 102 months after the procedure. Long-term symptom benefit was experienced by all patients, with a reduction in mean NYHA class from 2.7 +/- 0.6 before the procedure to 1 after the procedure at the last follow-up (p < 0.01). This historic small cohort study demonstrates that septal ablation can provide long-term haemodynamic and symptomatic benefit.

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)0.000
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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
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

Citations19
Published2010
Admission routes1
Has abstractyes

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