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Record W1980290475 · doi:10.1159/000109404

Induction of Atrial Depolarization Abnormality during Dipyridamole Stress Imaging: A Cautionary Note

2007· article· en· W1980290475 on OpenAlexaff
Laxman Prajapat, Vignendra Ariyarajah, David H. Spodick

Bibliographic record

VenueCardiology · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsDipyridamoleMedicineCardiologyInternal medicineIschemiaMyocardial perfusion imagingStress testing (software)PerfusionMyocardial imagingDepolarizationMyocardial ischemiaAnesthesia

Abstract

fetched live from OpenAlex

P-wave widening on the 12-lead electrocardiogram denotes abnormal atrial depolarization and has been shown to be associated with myocardial ischemia during treadmill exercise tolerance testing. However, its true significance during dipyridamole (Persantine) stress imaging remains questionable given the potential direct as well as indirect effects of dipyridamole on the atria. We present a novel series of 5 comparable cases of dipyridamole stress imaging where serial P-wave duration increase occurred during administration of dipyridamole. We observed that such P-wave widening occurred even in the absence of evidence of myocardial ischemia on subsequent myocardial perfusion imaging. Clinicians should therefore be aware of this potential association where, unlike that observed with graded exercise treadmill testing, P-wave widening during dipyridamole infusion could perhaps be a pharmacological effect on the atria instead of an indication of underlying myocardial ischemia.

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)0.002
metaresearch head score (Gemma)0.015
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 score0.006
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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