Behandelopties bij ernstige hidradenitis suppurativa
Bibliographic record
Abstract
Hidradenitis suppurativa is a chronic skin disease, characterized by painful, deep-seated inflamed lesions, mainly in areas bearing apocrine sweat glands, most commonly the axillary and inguinal regions. Pain leads to mechanical problems, and bacterial growth in the lesions produces a foul-smelling discharge, which reduces the quality of life. In this type of hidradenitis the infection occurs around hair follicles and sebaceous glands, in contrast to what the name would suggest (hidradenitis = sweat-gland inflammation); hidradenitis suppurativa can, therefore be regarded more as a form of acne. The aetiology of hidradenitis is still unknown, but associated factors are smoking, obesity and familial predisposition.The syndrome can take a severe and disabling course. It is worthwhile implementing aggressive treatment at an early stage. Tumour necrosis factor-alpha inhibitors are now employed in the treatment of severe and treatment-resistant forms of hidradenitis suppurativa; under certain conditions this treatment will be reimbursed by the health insurance company. This development means that there are more treatment possibilities in hidradenitis than there were 5 years ago. The best results are achieved with a combination of antibiotic, anti-inflammatory and surgical treatment, tailored to the patient's individual situation
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.015 |
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".