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Record W4386406988

Serum C-terminal telopeptide of Type-I collagen (CTx) concentration and myocardial hyperechogenicity in cats with hypertrophic cardiomyopathy.

2023· article· en· W4386406988 on OpenAlexafffund
E. L. Anderson, Étienne Côté, Shelley Burton, Tarek M. Saleh

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsUniversity of Prince Edward Island
FundersAtlantic Veterinary CollegeAmerican College of Veterinary Internal Medicine
KeywordsCATSHypertrophic cardiomyopathyMedicineN-terminal telopeptideVentricleInternal medicinePopulationCardiomyopathyHorseGastroenterologyEndocrinologyHeart failureBiologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Objective: This study sought to determine the serum concentrations of C-terminal telopeptide of Type-I collagen (CTx), a marker of collagen degradation, in a hospital population of cats with hypertrophic cardiomyopathy (HCM). The study also evaluated the prevalence of myocardial hyperechogenicity of the left ventricle (LV) in the same cats. Animals and procedure: Cats brought to a university veterinary cardiology service entered the study when they had an echocardiographic diagnosis of HCM; echocardiographically normal cats served as controls. Serum CTx concentrations were assessed using ELISA. Results: = 0.0057), but serum CTx concentrations were not different between these 2 groups. Conclusion and clinical relevance: These results indicate that, as in human patients with HCM and in contrast to earlier feline studies, there was no evidence of enhanced collagen degradation indicated by serum CTx concentrations in cats with HCM compared to normal controls.

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 score0.037
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.225
Teacher spread0.205 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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