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Record W2030083264 · doi:10.1159/000195310

Pulmonary Haemodynamics during Exercise after Low and High Doses of Acetylsalicylic Acid in Sheep

2009· article· en· W2030083264 on OpenAlexaff
Geoffrey Coates, Hugh OʼBrodovich, Ann L Jefferies

Bibliographic record

VenueRespiration · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsMcMaster UniversityChedoke Hospital
FundersMedical Research Council
KeywordsMedicineVascular resistanceArachidonic acidVasodilationLipoxygenaseHemodynamicsInternal medicineCardiac outputPharmacologyEndocrinologyEnzymeBiochemistryChemistry

Abstract

fetched live from OpenAlex

Despite comparable increases in cardiac output there is a greater reduction in pulmonary vascular resistance (PVR) in sheep during exercise than in dog or man. The mechanism for this marked reduction in PVR in sheep is unknown. To assess the role of arachidonic acid metabolites in producing this low PVR we measured the effect of intravenous acetylsalicylic acid (ASA, 10 mg/kg) on PVR at rest and during exercise in sheep. ASA caused a slight rise in resting PVR (p less than 0.05), but did not affect the exercise-induced decrease in PVR. High-dose ASA (100 mg/kg), presumably sufficient to block the lipoxygenase pathway produced the same responses as low-dose ASA which should only block the cyclo-oxygenase pathway. Products of the cyclo-oxygenase and lipoxygenase pathways which include vasodilator prostaglandins, have only a minor role in maintaining low pulmonary vascular resistance at rest and have no demonstrable role in the reduced PVR that occurs during exercise in sheep.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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