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Age-dependent cardiovascular, renal and endocrine responses to furosemide in conscious lambs

2004· article· en· W1997387500 on OpenAlexafffund
J Thomson, Francine G. Smith

Bibliographic record

VenueClinical and Experimental Pharmacology and Physiology · 2004
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsUniversity of Calgary
FundersBayer CanadaUniversity of Calgary
KeywordsFurosemidePlasma renin activityEndocrinologyInternal medicineMedicineVasopressinEndocrine systemBlood pressureHeart rateRenin–angiotensin systemHormone

Abstract

fetched live from OpenAlex

1. The present study was performed to investigate some of the physiological responses to furosemide during postnatal maturation. 2. In 1- (n = 8) and 6-week old (n = 10) conscious, chronically instrumented lambs at least 3 days after surgery, three experiments were performed at intervals of 24-48 h and in random order. Various parameters of cardiovascular and endocrine function, as well as cumulative urinary flow rates, were measured before and after intravenous injection of 0 mg/kg (experiment one), 0.25 mg/kg (experiment two; low dose) and 5 mg/kg (experiment three; high dose) furosemide. 3. After high-dose furosemide, mean venous pressure decreased and there was a transient increase in mean arterial pressure in lambs aged 6 weeks. At 1 week of age, heart rate increased after high-dose furosemide and renal blood flow decreased. After high-dose furosemide, plasma renin activity increased in both groups of lambs, although the effects were greater in 1-week-old lambs. Plasma levels of arginine vasopressin increased after high-dose furosemide in lambs aged 1 but not 6 weeks. Cumulative urinary flow rate responses to furosemide were similar in 1- and 6-week-old lambs. 4. These data provide new information that cardiovascular and endocrine responses to furosemide are developmentally regulated.

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 score0.788
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.032
GPT teacher head0.380
Teacher spread0.348 · 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

Citations6
Published2004
Admission routes2
Has abstractyes

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