Trichophyton mentagrophytes genotype VII, an emerging infection: a Systematic Review.
Bibliographic record
Abstract
Background: In the past few years there has been a dramatic change in the prevalence of the genotype VII of the Trichophyton mentagrophytes. Trichophyton mentagrophytes is a dermatophyte fungus commonly found in wild, terrestrial and burrowing animals such as rabbits, that has now adapted to an anthropophilic environment and is responsible of an emerging zoonosis. Study design: A thorough background research and a systematic review have been done to show the effect of this emerging dermatophytic infection on humans. Methods: Three electronic databases were searched for eligible studies: PubMed, Scopus and Web of Science. All the articles found were then screened, first, by title and abstract and, then, by full text. A quality assessment was done using the Newcastle-Ottawa Quality Assessment Scale (NOS). Results: 28 articles were found. 4 of which were included in this review. These articles were produced in France, Switzerland, the USA and Germany. They showed interesting clinical evidence regarding how this inter-human multidrug resistant mycosis could easily become an epidemic sexually transmitted infection. Conclusions: This systematic review emphasizes how the spread of this pathogen, genotype VII, in humans must not be underestimated. Consequently, in order to facilitate early intervention and, thus, avoid a multi resistant epidemic growth of this infection, new diagnostic measures are required.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".