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Record W4402474167 · doi:10.56771/jsmcah.v3.86

Retrospective Comparison of Polymerase Chain Reaction and Culture-Based Identification for Diagnosis of Microsporum canis and Trichophyton Spp. in Shelter Cats and Dogs

2024· article· en· W4402474167 on OpenAlexaffabout
Wesley Cheung, Alexandre Ellis, Amanda Idle, Alexandra Protopopova, Emilia Gordon

Bibliographic record

VenueJournal of Shelter Medicine and Community Animal Health · 2024
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsUniversity of British ColumbiaBC Mental Health & Substance Use ServicesBeef Farmers of Ontario
Fundersnot available
KeywordsMicrosporum canisCATSPolymerase chain reactionCanisMicrosporumMicrobiologyTrichophytonBiologyVeterinary medicineMedicineInternal medicineEcologyGenetics

Abstract

fetched live from OpenAlex

Introduction: Canine and feline dermatophytosis is challenging to manage in shelter settings because of its transmissibility, potential for zoonosis and labour-intensive treatment. An efficient and accurate initial diagnostic plan is essential to confirm infection, prevent outbreaks and ensure public safety. While quantitative polymerase chain reaction (PCR) has gained attention for its rapid turnaround time, studies have shown variable sensitivity. This study aimed to assess the performance of PCR in detecting Microsporum canis and Trichophyton spp. in shelter cats and dogs when compared to culture-based identification. Methods: Between 1 June 2015 and 10 January 2023, 125,939 cats and dogs entered 34 sheltering locations in coastal Western Canada. Of these, 246 animals (48 dogs, 198 cats) had both culture and PCR results, and sufficient records for analysis. Toothbrush samples were collected for dermatophyte test medium (DTM)/enhanced sporulation agar (ESA) bi-plates at a central shelter location and submitted for PCR at a referral laboratory before treatment was initiated. The diagnostic accuracy of PCR was evaluated using the reference standard of a 14-day culture result combined with P-scoring, a semi-quantitative method to assess DTM culture colonies. Results: Culture readings identified 72/246 (29.27%) lesional animals as positive (63 cats [31.81%] and 9 dogs [18.75%]). PCR demonstrated an overall sensitivity of 86.1% and specificity of 94.8% for both animal species combined. PCR for M. canis showed a sensitivity of 86.4% and a specificity of 97.8%, while PCR for Trichophyton spp. showed a sensitivity of 84.6% and specificity of 97.9%. DTM/ESA culture was highly efficient, with positive results available within 7 days for most cases (59/63 cats [93.6%] and 9/9 dogs [100%]). Conclusion: The variability in dermatophyte PCR sensitivity across recent studies highlights the risks of reliance on PCR as a sole diagnostic tool for suspect animals, especially when considering the demonstrated efficacy of in-house culture.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.388
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes2
Has abstractyes

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