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Record W2891072957

Update on the use of trilostane in dogs.

2018· article· en· W2891072957 on OpenAlexaff
Julie Denise Lemetayer, Shauna L. Blois

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineGynecologyAdverse effectEndocrinologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Many articles published in the past few years have contributed to a better understanding of the use of trilostane in dogs. Trilostane is a competitive inhibitor of 3β-hydroxysteroid dehydrogenase, the enzyme essential for synthesis of cortisol and all other steroids. Trilostane is reported to be safe and effective in the treatment of pituitary-dependent hyperadrenocorticism (HAC), adrenal-dependent HAC, and alopecia X. While trilostane controls most of the clinical signs associated with HAC, abnormalities such as hypertension, hypercoagulability, and proteinuria may persist despite therapy. Because the duration of cortisol suppression after a dose of trilostane is often less than 12 hours, many dogs with HAC could benefit from low dose trilostane treatment every 12 hours. Many controversies regarding trilostane still exist. This review provides a comprehensive commentary on trilostane's indications, mode of action, dose, monitoring, efficacy, and adverse effects.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.232

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 head0.284
GPT teacher head0.310
Teacher spread0.025 · 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 designNot applicable
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

Citations29
Published2018
Admission routes1
Has abstractyes

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