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Record W2461664513

Comparative effects of nitroglycerin on intestinal vascular capacitance and conductance.

2002· article· en· W2461664513 on OpenAlexaff
Eiichi Chihara, Dante E. Manyari, Debra Isaac, John V. Tyberg

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCapacitanceConductanceAnesthesiaVascular resistanceConstrictionInternal medicineHemodynamicsChemistryMathematics
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Nitroglycerin (NTG) dilates capacitance veins and resistance arterioles, but its relative effects on veins and arterioles are not known. OBJECTIVES: To compare NTG-induced changes in capacitance and conductance. ANIMALS AND METHODS: Aortic, left ventricular and portal venous (P(port)) pressures, portal flow and relative changes in intestinal blood volume (IBV) ((99m)technetium blood-pool scintigraphy) were measured in seven isoflurane-anesthetized, splenectomized dogs. Changes in intestinal vascular capacitance and conductance (mean portal flow/[mean aortic pressure - mean P(port)]) were determined when NTG was continuously administered (0.8 to 150 microg/kg/min) into a jugular vein. Pressure-volume (ie, P(port)-IBV) curves were defined by impeding portal flow, and capacitance was defined as the IBV at P(port)=7.5 mmHg. RESULTS: At lower doses, NTG increased capacitance without increasing conductance, but conductance increased considerably with little further increase in capacitance at higher doses. Dose-response analysis revealed that the half-maximum capacitance effect was achieved at an NTG infusion rate of 3.5 microg/kg/min, whereas a rate of 35 microg/kg/min was required for the half-maximum conductance effect. CONCLUSIONS: At lower doses, NTG dilates capacitance vessels primarily, and that effect approaches its maximum before significant dilation of conductance vessels is manifest. However, at higher doses, the increase in conductance is substantial with little additional effect on capacitance.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.314

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 head0.051
GPT teacher head0.238
Teacher spread0.187 · 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

Citations9
Published2002
Admission routes1
Has abstractyes

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