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Record W2159172461 · doi:10.1177/104063871102300227

Prevalence, Sites of Colonization, and Antimicrobial Resistance Among <i>Staphylococcus Pseudintermedius</i> Isolated from Healthy Dogs in Saskatoon, Canada

2011· article· en· W2159172461 on OpenAlexaffabout
Joseph E. Rubin, Manuel Chirino‐Trejo

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2011
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsStaphylococcus pseudintermediusColonizationAntibiotic resistanceStaphylococcusMicrobiologyAntimicrobialCarriageStaphylococcal infectionsVeterinary medicineStaphylococcus aureusBiologyMedicineAntibioticsBacteriaPathologyGenetics

Abstract

fetched live from OpenAlex

In dogs, Staphylococcus pseudintermedius is a common colonizer and is associated with pyoderma, otitis externa, and urinary tract infections. In the current study, nasal, pharyngeal, and rectal swabs were taken from 175 healthy dogs and cultured for S. pseudintermedius. The organism was found in 153 dogs (87.4%), including individuals in which it exclusively colonized in the nares (n = 1), pharynx (n = 16), and rectum (n = 17). Antimicrobial susceptibility testing revealed that a remarkably susceptible population, 46.4% of isolates, was susceptible to all drugs tested, and resistance to penicillin (39.9%) and tetracycline (23.5%) were most common. No methicillin (oxacillin)-resistant isolates were identified. Although 3.3% of isolates were erythromycin resistant, no inducible clindamycin resistance was found. The data provide a baseline for future resistance surveillance and indicate that multiple body sites, including at least the pharynx and rectum, should be tested.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.267
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.245
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), 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

Citations89
Published2011
Admission routes2
Has abstractyes

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