MétaCan
Menu
Back to cohort
Record W2336509038 · doi:10.4236/wjcd.2016.64009

Effect of Acute Volume Loading on LV Function after Acute Cardiac Decentralization in Anesthetized Canines

2016· article· en· W2336509038 on OpenAlexafffund
John G. Kingma, Denys Simard, Jacques R. Rouleau

Bibliographic record

VenueWorld Journal of Cardiovascular Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité Laval
FundersUniversité Laval
KeywordsMedicineStroke volumeCardiac outputAnesthesiaCoronary sinusCardiac function curveCardiologyHeart rateBlood volumeBlood pressureHemodynamicsEjection fractionInternal medicineHeart failure

Abstract

fetched live from OpenAlex

The present study investigated the role of cardiac nerves on homeometric autoregulation in anesthetized dogs during acute volume loading. Ventricular pressure-volume loops (conductance catheter method) were constructed during acute volume loading with intact cardiac nerves (ICN) and after cardiac decentralization (DCN; bilateral ablation of thoracic vagosympathetic complexes, stellate ganglia and anterior and posterior ansae subclavia). Arterial pressure increased as expected after volume loading but no significant changes were observed for heart rate and other hemodynamic parameters. Coronary sinus venous oxygen content was also higher regardless of nerve status in response to the overall increase in cardiac work. Pressure-volume catheter data showed markedly higher end-systolic volumes after volume loading under ICN and DCN conditions; stroke volume (mL/beat) and stroke work (mL/mm Hg) were not changed but LV ejection fraction was significantly lower. End-diastolic volume and cardiac output did not change. In addition, systemic vascular resistance and tau were higher with volume loading but no differences between ICN and DCN were observed. These findings show that acute volume loading produces an immediate influence on LV function independent of cardiac nerve status.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
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 head0.003
GPT teacher head0.224
Teacher spread0.220 · 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
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueWorld Journal of Cardiovascular DiseasesSame topicHeart Rate Variability and Autonomic ControlFrench-language works237,207