New insights into hepatosplenic candidosis, a manifestation of chronic disseminated candidosis
Bibliographic record
Abstract
Chronic disseminated candidosis, often referred to as hepatosplenic candidosis (HSC), is an infection due to Candida spp. that mainly involves the liver and spleen. HSC occurs mostly in patients after profound and prolonged neutropenia, which is more often seen in patients with acute haematological malignancies. The incidence of HSC ranges from 3% to 29% in patients suffering from Acute Leukaemia. However, it is now seen less frequently with the widespread use of antifungal agents as prophylaxis or as preemptive therapy. Early and adequate diagnosis and treatment of HSC are crucial, as treatment delays can negatively affect the prognosis of the underlying condition. The pathogenesis is not well understood, but it is believed that it may be due to an unbalanced adaptive immune response that leads to an exacerbated inflammatory reaction, resulting in an Immune Reconstitution Inflammatory Syndrome. In this context, new therapeutic approaches such as the use of adjuvant high-dose corticosteroids have been shown beneficial. This article will focus on the clinical, diagnostic and therapeutic aspects of HSC and provide an accurate review of recent pathophysiological data.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".