Tuberculids: cutaneous indicator diseases of <i>Mycobacterium tuberculosis</i> infection in young patients
Bibliographic record
Abstract
BACKGROUND: In the past years the incidence of tuberculosis has dropped significantly in most parts of Europe and the presentation of symptomatic tuberculosis cases have become increasingly rare. With the recent influx of refugees in Europe coming from tuberculosis endemic areas like the Middle East and Africa, it is expected that the incidence of tuberculosis will increase. OBJECTIVES: Cutaneous symptoms are important hallmarks that can be of aid for the correct diagnosis of an underlying disease, like tuberculosis. METHODS: We describe 2 young patients with tuberculids, respectively lichen scrofulosorum and papulonecrotic tuberculids, caused by a systemic Mycobacterium tuberculosis infection. RESULTS: Tuberculids are cutaneous immunological reactions triggered by a Mycobacterium tuberculosis infection elsewhere in the body. The three main manifestations of cutaneous tuberculids are: lichen scrofulosorum, papulonecrotic tuberculids and erythema induratum of Bazin. Whereas the latter is more common, the first two presentations are rare. CONCLUSION: It is of importance that clinicians, including dermatologists, are aware of the spectrum of clinical presentations of tuberculosis to halt this destructive and highly contagious disease early in its course.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".