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Record W2110367383 · doi:10.5603/cj.2012.0107

Management of arrhythmias in heart failure. What a practicing physician should know in the current times

2012· review· en· W2110367383 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology Journal · 2012
Typereview
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsKingston General HospitalQueen's University
Fundersnot available
KeywordsMedicineHeart failureCardiologyInternal medicineAldosteroneAngiotensin Receptor BlockersIntensive care medicineSudden cardiac deathAngiotensin-converting enzyme

Abstract

fetched live from OpenAlex

Arrhythmias play a significant role in the mortality and morbidity as well as hospitalizations of patients who carry a diagnosis of congestive heart failure. With improving survival in a world of novel medications and devices, an understanding of the pathophysiology and management of these arrhythmias is crucial. Majority of the basic heart failure medications such as beta- -blockers, angiotensin converting enzyme inhibitors/aldosterone receptor blockers and aldosterone antagonists play a pivotal role in prevention of sudden cardiac deaths which can be a direct/indirect result of these arrhythmias. Anti-arrhythmic drugs and implantable cardioverter-defibrillators were also beneficial in selected patients. Innovative electrophysiological techniques need to be considered in special situations.

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.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.100
GPT teacher head0.400
Teacher spread0.301 · 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