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Record W2336400240 · doi:10.1016/j.hrcr.2016.01.005

Flecainide and elevated liver enzymes in α1-antitrypsin deficiency

2016· article· en· W2336400240 on OpenAlexaff
David J.A. Jenkins, Michael R. Freeman, Iqwal Mangat, Koruba Srichaikul, Viranda H. Jayalath, Dorothea Faulkner, John L. Sievenpiper, Cyril W.C. Kendall, Alexander D. Romaschin, Young‐In Kim, Paul Dorian

Bibliographic record

VenueHeartRhythm Case Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsFlecainideMedicineAtrial fibrillationInternal medicineCardiologyAdverse effectPopulationCatheter ablationLiver disease

Abstract

fetched live from OpenAlex

Flecainide is a commonly used drug for rhythm control in atrial fibrillation (AF) with a good safety profile1,2 when used in the absence of structural heart disease. Flecainide has been associated with acute hepatitis and cholestasis.3–6 Owing to the small number of reported cases, however, the nature of this purported association and potential predisposing factors have not been clearly established. However, in view of the growing number of individuals with AF in the North American population (~2–4 million),7 who may require long-term medical treatment or treatment prior to ablation therapy,2 it is important to identify predisposing conditions for adverse liver reactions associated with flecainide.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.052
GPT teacher head0.318
Teacher spread0.266 · 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 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

Citations1
Published2016
Admission routes1
Has abstractyes

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