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Record W6996350138

Retrograde cardioplegia, effec s of coronary venous perfusion on myocardial energy metabolism, contractile function and myocardial perfusion in neonatal hearts

2007· other· en· W6996350138 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2007
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsnot available
Fundersnot available
KeywordsPerfusionEnergy metabolismRetrograde perfusionVenous bloodCardiac cycleCardiac function curveCardiopulmonary bypassIschemiaCirculatory system
DOInot available

Abstract

fetched live from OpenAlex

Objective. This study tested the hypothesis that a heart maintained in arrest by retrograde cardioplegia (RC) can recover metabolic and contractile function to a level comparable to that of antegrade cardioplegia (AC). Methods. Isolated Langendorff piglet hearts were subjected a protocol consisting of 30 minutes of control perfusion, 45 minutes of arrest, and 30 minutes of reperfusion. During the control and reperfusion periods, the hearts were pelfused using Krebs-Henseleit (K-H) solution. Cardioplegic arrest was induced with two minutes of AC. Arrest was maintained for 43 minutes with continuous RC in group 1. The hearts in roup 2 were subjected to 45 minutes of continuous AC. Myocardial energy metabolism and contractile function in the two groups were compared by assessing energy metabolites using $\\sp{31}$P MR spectroscopy and determining myocardial O$\\sb2$ consumption (MVO$\\sb2)$ and measuring intraventricular pressure. (Abstract shortened by UMI.)

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.002
GPT teacher head0.142
Teacher spread0.140 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicGenetic Mapping and Diversity in Plants and Animals→French-language works237,207→