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Record W4393437778 · doi:10.1111/eve.13959

Highlights of recent clinically relevant papers

2024· article· en· W4393437778 on OpenAlexaboutno aff
Sue Wright

Bibliographic record

VenueEquine Veterinary Education · 2024
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMedical physicsIntensive care medicine

Abstract

fetched live from OpenAlex

In this study, Rebecca Mouncey and co-workers in the UK, Canada and USA investigated associations between turn-out practices and rates of musculoskeletal disease and injury in young Thoroughbreds on stud farms in the UK.Daily records were kept on location and duration of turn-out for 134 Thoroughbred foals on six stud farms, from birth until leaving the farm or study exit.Data on veterinary-attended episodes of musculoskeletal disease or injury were collated concurrently.Average daily turn-out times (hours), areas (acres) and group size (n foals) were calculated for rolling 7-and 30-day periods of age.Associations between turn-out practices and musculoskeletal disease and injury were investigated using Multivariable Cox regression.The overall incidence of musculoskeletal disease or injury was 5.3 cases/100 foal-months at risk (95% CI: 4.2-6.6).Compared with 24/7 turn-out, average daily turn-out times of between 9 and 23 hours over a 7-day period were associated with a 4.6-fold increase in musculoskeletal injury rate (95% CI: 1.7-12.3),adjusting for farm and paddock area.Each 1-acre increase in the average daily turn-out area during the fourth month of life reduced the rate of musculoskeletal disease and injury between 6 and 18 months of age by 24% (HR: 0.76; 95% CI: 0.58-0.99),adjusting for farm and turn-out time.These results suggest that disruptions or alterations to turn-out time routines increase injury risk and should be avoided where possible.Turn-out in larger paddocks, particularly before weaning, may confer protection against subsequent musculoskeletal disease and injury. EFFEC TS OF ROAD TR ANS P ORT In this study, Francesca Arfuso and co-workers in Italy evaluated the change in white blood cell (WBC) count, serum concentration of cortisol, C-reactive protein (CRP), albumin and globulin fractions in horses after road transport, and assessed the linkage among hypothalamic-pituitary-adrenal axis (HPA) and inflammatory reaction.Blood samples were collected from 10 horses at rest, before road transport (218 km) (BT); after unloading (AT), 30 and 60 min after unloading (AT30 and AT60) to assess WBC, serum cortisol, CRP, total proteins, albumin, 1-, -2, 1-, 2-and -globulins.WBC, cortisol, CRP, 1-, -2 and 2-globulins values were higher after road transport than at rest.Albumin and A/G ratio showed lower values after road transport than rest.Pearson's test showed a negative correlation between cortisol and the values of WBC, CRP, 1-, 2-, 1-, 2-globulins, and a positive correlation between WBC and serum concentration of CRP, 1-and 2-, 1-, 2-globulins at AT and AT30.These results showed that road transport evokes an inflammatory-like status in horses.Moreover, the activation of HPA and the onset of acute phase reaction in response to road transport seem to be interconnected with effects on the horse's immune status.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.001

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 head0.372
GPT teacher head0.556
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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