A systematic review and meta-analysis of the association between Mycoplasma spp and upper and lower respiratory tract disease in cats
Bibliographic record
Abstract
OBJECTIVE To critically assess available data from controlled observational studies on the pathogenic role of Mycoplasma spp in the upper respiratory tract (URT) and lower respiratory tract (LRT) of cats. DESIGN Systematic review and meta-analysis. SAMPLE 12 studies. PROCEDURES Seven electronic databases were searched for relevant publications. Risk of bias was assessed via the Newcastle-Ottawa Scale. Meta-analyses, stratified by URT versus LRT disease, were performed to estimate pooled ORs and 95% confidence intervals (CIs) for the association between Mycoplasma isolation and URT or LRT disease. Subanalyses by diagnostic method, sampling site, and environment (shelter vs nonshelter) were planned for studies on URT disease. RESULTS A significant association was found between isolation of mycoplasmal organisms and URT disease (pooled OR, 1.65; 95% CI, 1.14 to 2.40) but not LRT disease (pooled OR, 1.56; 95% CI, 0.51 to 4.76). The association with URT disease was only significant when conjunctival or pharyngeal samples from nonshelter cats were analyzed with a Mycoplasma felis-specific PCR assay. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested that M felis may be a primary pathogen in cats with URT disease, warranting treatment in infected cats. The environment was important to consider when interpreting a mycoplasma-positive sample because of aclinical carriage, especially in shelter cats. Further investigations are needed to determine the role, if any, of mycoplasmal organisms in LRT disease of cats.
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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 | 0.016 | 0.049 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.030 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".