Clinical and hematobiochemical response in canine monocytic ehrlichiosis seropositive dogs of Punjab
Bibliographic record
Abstract
Aim: As in India especially, the Punjab state sero-prevalence and distribution of ehrlichiosis in relation to clinicohematobiochemical response remains largely unexplored.Thus, this study was designed to determine the prevalence of vector (tick)-borne tropical canine pancytopenia caused by Ehrlichia canis through enzyme labeled ImmunoComb ® (IC) assay in dogs from in and around Ludhiana, Punjab.Correlation of prevalence was made with various clinico-hematobiochemical parameters.Materials and Methods: Seroprevalence study was carried out using IC ® test kit (Biogal, Galed Labs).The study was conducted in 84 dogs presented to the Small Animal Clinics, Teaching Veterinary Clinical Complex, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab.Results: Out of 84 suspected dogs for ehrlichiosis, based on peripheral thin blood smear examination 12 (14.28%)cases were positive for the morulae of E. canis and 73 (86.90%) dogs were found positive to E. canis antibodies through IC ® canine Ehrlichia antibody test kit, respectively.Among the different age groups 1-3 years of aged group showed highest prevalence (41.09%), followed by the 3-6 years age group (32.87%), infection levels were lower in the <1 year of age group dogs (13.69%) and more than 6 years age group dogs (12.32%).The highest prevalence was seen in Labrador retriever.This study indicates that season plays a very important role in the prevalence of ehrlichiosis.The most common findings observed were anemia, leukocytosis, neutropenia, lymphopenia, thrombocytopenia, eosinophilia followed by hyperbilirubinemia, increased levels of aspartate aminotransferase, alanine aminotransferase and alkaline phosphatase, hypoalbuminemia, hyperglobulinaemia, decrease in albumin and globulin ratio, increase in blood urea nitrogen and creatinine.Conclusions: Serological techniques like IC ® are more useful for detecting chronic and subclinical infections and are ideally suited to epidemiological investigations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".