Use of real-time quantitative polymerase chain reaction to monitor antibiotic therapy in a dog with naturally acquired Mycoplasma haemocanis infection
Bibliographic record
Abstract
Mycoplasma haemocanis is a hemotropic bacterium that can be associated with acute hemolytic disease in immunocompromised or splenectomized dogs. The present case report describes for the first time the use of real-time quantitative polymerase chain reaction (qPCR) to monitor M. haemocanis infection in a splenectomized dog. The report also describes the application of real-time qPCR for the analysis of deoxyribonucleic acid extracted from stained blood films. The analysis of blood films from the time of initial presentation allowed a retrospective confirmation of M. haemocanis infection. The M. haemocanis copy numbers remained high throughout antibiotic treatment of this dog. A decline in copy numbers was only recorded after 11 months of therapy, when improvements in clinical and hematological indices were also noted. Clearance of infection was not achieved, and the dog remained positive for M. haemocanis at 3.5 months postcessation of antibiotic therapy. Cytological examination of blood films for the presence of organisms was insensitive for the detection of parasitemia.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".