Subclinical bacteriuria and surgical-site infection in 140 dogs with orthopedic and neurological conditions.
Bibliographic record
Abstract
Objectives: This study aimed to determine the prevalence, risk factors, and types of bacterial isolates associated with subclinical bacteriuria (SBU) in dogs with reduced mobility; and to explore the influence of SBU on surgical-site infection (SSI) in dogs treated surgically for their conditions. Animals: We studied 140 client-owned dogs. Procedure: Medical records of dogs with orthopedic and neurological conditions from 3 academic referral hospitals were reviewed. Dogs receiving antimicrobials or showing lower urinary tract signs were excluded. Using generalized linear models, clinical, procedural, and postoperative variables were evaluated as possible risk factors for SBU and SSI. Results: spp. in 1 dog). Four of the 10 dogs that developed SSI received postoperative antimicrobial therapy. The prevalence of SBU and types of bacterial isolates were similar to those in previous reports. Significant risk factors for developing SBU and its association with SSI were not identified. Conclusion and clinical relevance: Screening and treating for SBU preoperatively remains controversial.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".