Bibliographic record
Abstract
PURPOSE OF REVIEW: An opportunistic mycosis is a fungal agent of low pathogenicity that specifically infects immunocompromised hosts. Advances in transplantation, preterm care, immunosuppressive therapies and intensive care, have lead to the emergence of pediatric patients with serious immunodeficiency who are vulnerable to nonpathogenic fungi. RECENT FINDINGS: The advent of the use of biologic agents in pediatric disease as well as the advances in care of preterm and immunosuppressed patients opens up a new cohort of patients at risk of opportunistic mycotic infections. Recent cases of cutaneous histioplasmosis as the presenting sign of hyper-IgM syndrome and the case of cutaneous blastomycosis in a patient treated with infliximab underscore the need to have a high clinical suspicion for deep fungal infections in immunosuppressed patients. SUMMARY: The current review will focus on the cutaneous manifestations of cutaneous infections by Aspergillus, Blastomyces, histoplasmosis, and mucormycosis. Greater understanding of these diseases and high-quality research in identification and treatment can enhance care of patients in the coming future.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".