MétaCan
Menu
Back to cohort
Record W2486751161 · doi:10.1159/000470354

Amiloride: Effects on Right andLeft Ventricular Function inPatients with Inducible SustainedVentricular T achycardia

2017· article· en· W2486751161 on OpenAlexaff
Dante E. Manyari, L. Brent Mitchell, D. George Wyse, Anne M. Gillis, Henry J. Duff

Bibliographic record

VenueAmerican Journal of Noninvasive Cardiology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsAmilorideMedicineInternal medicineCardiologyEjection fractionBlood pressureHeart failureSodium

Abstract

fetched live from OpenAlex

The effects of antiarrhythmic therapy with amiloride on right ventricular (RV) and left ventricular (LV) systolic performance were studied in 22 patients with inducible sustained ventricular tachycardia, 15 male, mean age 59 ± 12 years. Amiloride was given orally 5 or 10 mg b.i.d. which resulted in a mean serum trough concentration of 52.1 ± 18.2 ng/ml. Baseline LV ejection fraction (EF) did not change during amiloride therapy (35.5 ± 15.2 vs. 36.4 ± 14.9%). RV EF, however, increased slightly but significantly during amiloride therapy (43.6 ±11.1 vs. 46.9 ± 11.5%, p < 0.01). Improvement in RV EF was seen only in patients with depressed baseline LV EF (<40%). RV and LV enddiastolic and end-systolic volumes were smaller during amiloride therapy, but the changes were not statistically significant. Similarly, amiloride did not affect exercise duration or exercise heart rate or blood pressure. At peak exercise, the effects of amiloride on measures of ventricular performance were similar to those at rest. We conclude that in patients with inducible sustained ventricular tachycardia, antiarrhythmic therapy with amiloride does not adversely affect systolic ventricular function or exercise performance regardless of baseline LV function. Amiloride improves RV systolic function in patients with baseline LV dysfunction by mechanisms which need further study.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.282
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.239
Teacher spread0.234 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Noninvasive CardiologySame topicCardiac electrophysiology and arrhythmiasFrench-language works237,207