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Record W2274225662

Linearity and stationarity of the pharmacokinetics of tiludronate in horses

2005· article· en· W2274225662 on OpenAlexaff
Catherine Delguste, Michèle Doucet, Hélène Amory, Jérôme Guyonnet, Dominique Thibaud

Bibliographic record

VenueORBi (University of Liège) · 2005
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPharmacokineticsStatisticsMedicineMathematicsInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Two studies were conducted in order to assess the linearity and stationarity of the pharmacokinetics of tiludronate in horses. For each study, plasma concentrations of tiludronate were measured by HPLC-UV at regular intervals and noncompartmental analysis was performed. First, single intravenous administrations of 0.05 (group 1, n = 5), 0.1 (group 2, n = 5) and 0.2 mg/kg (group 3, n = 5) were performed in healthy male adult horses. A linear relationship between groups was found for C5min (C5min = 0.0726 + 11.8589 * dose) as well as for AUC0-inf (AUC0-inf = -0.632561 + 30.9649 * dose). Clearance ranged from 0.033 to 0.044 L/h/kg and was not significantly different between groups. MRT (h) were 3.96, 4.95 and 9.40 and VDss (L/kg) were 0.16, 0.19 and 0.28 for the 0.05, 0.1 and 0.2 mg/kg doses respectively. Second, 10 daily intravenous administrations at a dosage rate of 0.1 mg/kg were administered to 4 healthy horses. Plasma tiludronate concentrations were measured after the 1st and 10th dose as well as 8 hours after each dose. The mean plasma accumulation ratio between the 1st and the 10th dose was 1.31 ± 0.48. Medians of the tiludronate concentration values measured in plasma 8 hours post-dose were not statistically different between doses. Maximum and minimum concentrations of tiludronate (mg/L) following the last dose were 0.91 and 0.04 respectively. It was concluded that the pharmacokinetics of tiludronate in horses are linear from 0.05 to 0.2 mg/kg IV and stationary after 10 IV administrations of 0.1 mg/kg.

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 score0.010
Threshold uncertainty score0.372

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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