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Record W2551533002 · doi:10.21836/pem20020619

The prescience to measure airway reactivity in horses without heaves

2002· article· en· W2551533002 on OpenAlexaboutno aff
Andrew M. Hoffman

Bibliographic record

VenuePferdeheilkunde Equine Medicine · 2002
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsnot available
Fundersnot available
KeywordsAirwayMeasure (data warehouse)Reactivity (psychology)MedicinePathologyComputer scienceAnesthesiaData miningAlternative medicine

Abstract

fetched live from OpenAlex

The prescience to measure airway reactivity in horses without heaves Pferdeheilkunde 18 622 A landmark research paper was published by Klein and Deegen in 1986 entitled "Histamine inhalation provocation test: Method to identify nonspecific airway reactivity in equids. The paper made little 'splash' in the lay press, nor was there an abundance of scholarly commentary in response. It seemed that, like many German papers, it went disturbingly unnoticed in the USA. At the time, I began working as a Large Animal Medicine Resident and Graduate Student at the University of Guelph in Ontario, Canada, fresh out of private practice. There, Dr. Laurent Viel was meticulously cataloguing the bronchoalveolar lavage (BAL) cytology of horses with poor performance, and I was fortunate to join his group. We principally saw racehorses, and the common complaint was 'fading at the fl mile mark.' Viel seemed to me to be one of the only persons, that was really enthusiastic about low-grade airways inflammation in horses without heaves (Fogarty and Buckley 1991). Indeed, there was no name for this condition in English, so we and others (Moore et al 1997) made them up: small airway disease, small airway inflammatory disease, and inflammatory airway disease. Viel (1997) hypothesized that the cytologic inflammation portended airway obstruction, and the latter was the cause of poor performance. Klein and Deegen's paper was crucial evidence, but the proof of concept would not come for years. Klein and Deegen appeared to have sensed the need to address problems in their clinical caseload by using more objective tests. Conventional testing using esophageal pressure -flow data does not detect abnormalities in non-heaves horses (Sasse 1973, Hoffman 2002) so a different approach was needed. Klein and Deegen were persistent, and followed their hunch that something was functionally deranged in these milder cases. Many of the horses had remarkable mucus accumulations visible by endoscopy, the latter technique being rather new. They proposed a challenge test analogous to methacholine challenge in humans suspected with asthma. Anyone that has performed lung function test in equine outpatients knows that it poses several challenges. Equine patients are unaccustomed to the lung function testing equip-

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.183
GPT teacher head0.402
Teacher spread0.219 · 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.

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

Citations0
Published2002
Admission routes1
Has abstractyes

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