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Record W4364321006 · doi:10.51966/jvas.2023.54.1.71-78

Canine parvo viral enteritis in dogs: Diagnostic and therapeutic evaluation

2023· article· en· W4364321006 on OpenAlexaff
G. Shruti, K. Ajay

Bibliographic record

VenueJournal of Veterinary and Animal Sciences · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsSNC-Lavalin (Canada)
Fundersnot available
KeywordsEnteritisInternal medicineMedicineOseltamivirCanine parvovirusGastroenterologyParvovirusImmunologyVirusVirologyDisease

Abstract

fetched live from OpenAlex

A total of 110 dogs presented to Teaching Veterinary Clinical Complex, CSKHPKV, Palampur (H.P.), India with the history of enteritis/gastroenteritis were screened for Canine Parvovirus (CPV). Out of these 110 dogs, 48 dogs were found positive for CPV by using Scanvet - a rapid antigen detection kit. All the 110 samples were subjected to Polymerase Chain Reaction (PCR) to check whether there were some cases that were false positive or false negative by Scanvet. Positive cases were, then, divided into 4 groups of 12 dogs each, with 4 different treatment regimens followed for each group. In addition to standard treatment protocol, our study tested effect of immunomodulators (Vitamin E & Selenium) and antiviral “Oseltamivir” on recovery of dogs. This type of study (using Oseltamivir and immunomodulators) was not done previously in the state and hence, our aim was to test whether this treatment increases survivability and recovery rate for dogs with Parvoviral enteritis in Himachal Pradesh. Groups containing immunomodulators were more efficacious than their counterparts without immunomodulators. Addition of Oseltamivir and immunomodulators to standard therapy resulted in reduced mortality, cessation of diarrhoea and vomiting earlier than routine therapy. Scanvet diagnostic kit was found to be a quick alternate method for diagnosis of Parvo Viral Enteritis. Overall, the group treated with antibiotic+ supportive+ symptomatic+ antiviral treatment along with immunomodulator displayed promising 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.177

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.070
GPT teacher head0.384
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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