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Record W7133004505

Ibutilide as a firstline antiarrhythmic drug in a porcine model of out-of-hospital cardiac arrest

2004· dissertation· W7133004505 on OpenAlexfundno aff
Cameron Reid Smith

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsIbutilideDefibrillationCardiopulmonary resuscitationVentricular fibrillationHemodynamicsAntiarrhythmic agent
DOInot available

Abstract

fetched live from OpenAlex

Results and Conclusions. Ibutilide increased DFT (161.1 +/- 33.3 J vs. 200 +/- 54.8 J, p = 0.044). Ibutilide did not significantly change any other variable measured. The ITV did not significantly change any variable measured. Ibutilide appears inactive in the pig, while the ITV may not function properly when used with automatic ventilators. Objectives. Class III antiarrhythmics have been demonstrated to lower defibrillation threshold (DFT). The impedance threshold valve (ITV) has been demonstrated to improve hemodynamics during cardiopulmonary resuscitation (CPR). We hypothesize that administration of the class III antiarrhythmic drug ibutilide, and use of the ITV during CPR after induction of ventricular fibrillation (VF) will lead to greater short-term survival vs. control. Methods. VF was induced in 30--35 kg pigs and left untreated for 4 minutes. CPR was performed for 8 minutes using automatic ventilation. 0.005 mg/kg IV ibutilide was administered during CPR. Electrophysiologic and hemodynamic variables were measured at baseline, during CPR, and post-resuscitation.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.315
Teacher spread0.304 · 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 designBench or experimental
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

Citations0
Published2004
Admission routes1
Has abstractyes

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