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Record W1979979889 · doi:10.1159/000175781

Effect of Pacing on Epinephrine- Stimulated Atrial Natriuretic Factor Release

2008· article· en· W1979979889 on OpenAlex
Fu Zhao, EricF.C. Wong, John A. Yeung-Lai-Wah, Norman L.M. Wong

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCardiology · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity of British Columbia
FundersHeart and Stroke Foundation of Canada
KeywordsEpinephrineInternal medicineMedicineCardiology

Abstract

fetched live from OpenAlex

Previous in vitro studies showed that epinephrine stimulation can induce atrial natriuretic factor (ANF) release only form the right atrium but not from the left. In addition, sinus node has been shown to play an important role in the release of ANF. In vitro studies were done in isolated left and right rat atria to determine if pacing can induce the left atria to release ANF during epinephrine stimulation. ANF concentrations in the perfusate were measured by a radioimmunoassay method. Epinephrine increased ANF release in the right atria (from 6.3 +/- 0.8 to 10.8 +/- 0.9 pg/min/mg), but not in the unpaced left atria (4.2 +/- 0.4 and 4.2 +/- 0.3 pg/min/mg). However, when the atria were paced, ANF release rose in both the left (from 6.2 +/- 0.5 to 11.5 +/- 1.4 pg/min/mg) and right (from 8.4 +/- 1.15 to 16.6 +/- 1.8 pg/min/mg) atria with epinephrine addition. These results suggest that atrial contraction and tension play an important role in epinephrine-stimulated ANF release.

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)0.000
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 score0.154
Threshold uncertainty score0.462

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.308
Teacher spread0.285 · 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