Diagnosis and Management of Systemic Endemic Mycoses Causing Pulmonary Disease
Bibliographic record
Abstract
Systemic endemic mycoses cause high rates of morbidity and mortality in certain regions of the world and the real impact on global health is not well understood. Diagnosis and management remain challenging, especially in low-prevalence settings, where disease awareness is lacking. The main challenges include the variability of clinical presentation, the fastidious and slow-growing nature of the fungal pathogens, the paucity of diagnostic tests, and the lack of options and toxicity of antifungal drugs. Coccidioidomycosis and paracoccidioidomycosis are restricted to the Americas only, and while histoplasmosis and blastomycosis also occur predominantly in the Americas, these mycoses have also been reported on other continents, especially in sub-Saharan Africa. Talaromycosis is endemic in tropical and subtropical regions in South-East Asia and southern China. Systemic endemic mycoses causing pulmonary disease are usually acquired via the airborne route by inhalation of fungal spores. Infections can range from asymptomatic or mild with flu-like illnesses to severe pulmonary or disseminated diseases. Skin involvement is frequent in patients with paracoccidioidomycosis, blastomycosis, sporotrichosis, and talaromycosis and manifests as localized lesions or diffuse nodules in disseminated disease, but can also occur with other endemic mycoses. Culture and/or characteristic histopathology from clinical samples is the diagnostic standard for endemic mycoses. Immunological assays are often not available for the diagnosis of most endemic mycoses and molecular amplification methods for the detection of fungal nucleic acids are not standardized at present. The first-line treatment for mild to moderate histoplasmosis, paracoccidioidomycosis, blastomycosis, sporotrichosis, and talaromycosis is itraconazole. Severe illness is treated with amphotericin B. Patients with severe coccidioidomycosis should receive fluconazole. Treatment duration depends on the specific endemic mycosis, the severity of disease, and the immune status of the patient, ranging between 6 weeks and lifelong treatment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".