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Record W2074299750 · doi:10.2460/ajvr.70.10.1183

Evaluation of endotoxin activity in blood measured via neutrophil chemiluminescence in healthy horses and horses with colic

2009· article· en· W2074299750 on OpenAlexaff
Judith Koenig, James Hart, David M. Harris, Antonio M. Cruz, Dorothee Bienzle

Bibliographic record

VenueAmerican Journal of Veterinary Research · 2009
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineHorseChemiluminescenceVenous bloodGastroenterologyInternal medicineSystemic inflammatory response syndromeBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the performance of a chemiluminescent endotoxin activity assay in horses with colic and healthy horses. ANIMALS: 20 horses with colic and systemic inflammatory response syndrome (SIRS group), 8 horses with colic with no SIRS (NSIRS group), and 20 healthy horses. PROCEDURES: Venous blood was collected into EDTA blood collection tubes after completion of a physical examination, and a chemiluminescent endotoxin activity assay was performed within 60 minutes of collection. Medical or surgical interventions and outcome were recorded for each horse. RESULTS: Mean + or - SE endotoxin activity was 0.16 + or - 0.05 for healthy horses, 0.18 + or - 0.07 for the NSIRS group, and 0.53 + or - 0.05 for the SIRS group and was significantly different among the groups. Mean endotoxin activity was significantly higher in the SIRS group than in the NSIRS group and the healthy group. No significant difference between the healthy and NSIRS groups was present. The higher the measured endotoxin activity, the more likely it was for horses to be euthanized. CONCLUSIONS AND CLINICAL RELEVANCE: The chemiluminescent endotoxin assay was easy to use, required a short time to perform, could be completed at the patient's side, and with some modifications, may be a useful component in the clinical assessment and prognostication of horses with colic.

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)0.013
metaresearch head score (Gemma)0.002
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 score0.794
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.224
GPT teacher head0.470
Teacher spread0.246 · 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

Citations13
Published2009
Admission routes1
Has abstractyes

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