Feline urinary tract pathogens in western Canada: Prevalence of bacterial species and antimicrobial resistance from 2012 to 2018.
Bibliographic record
Abstract
Objective: The aim of this study was to investigate the bacterial population and antimicrobial resistance of bacteria isolated from feline urine from 2012 to 2018 in the Canadian provinces of Alberta and British Columbia. Animals and procedure: IDEXX Reference Laboratories provided data from urine samples submitted from Alberta and British Columbia for aerobic culture and susceptibility testing from January 1, 2012 to December 31, 2018. The analysis included 8084 bacterial isolates from 7522 cystocentesis samples, with at least 1000 colony-forming units per mL. Results: species to clindamycin, there was minimal change in the antimicrobial susceptibility of the 3 most commonly isolated bacteria over the study period. More than 85% of Gram-positive organisms were susceptible to amoxicillin with or without clavulanic acid, and > 85% of Gram-negative organisms were susceptible to amoxicillin with clavulanic acid and trimethoprim with sulfamethoxazole. Conclusion and clinical relevance: Treatment with amoxicillin, with or without clavulanic acid, may be considered for bacterial feline lower urinary tract disease in Alberta and British Columbia while awaiting culture results.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".