Hidradenitis Suppurativa: A Review of the Biologic and Small Molecule Immunomodulatory Treatments
Bibliographic record
Abstract
Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease that presents as painful, deep-seated nodules, sinus tracts, and abscesses in about 1% of the population. Although the pathogenesis of HS is not perfectly understood, it is generally recognized to be caused by a combination of genetic, endocrine, environmental, and microbiological factors. The treatment principles of HS focus on decreasing the microbial load with antibiotics and/or modulating the host immune response to reduce inflammation. The treatment of adults with moderate-to-severe HS has significantly changed recently with the development of new biological medications and immunomodulators. While previously the mainstay of treatment of moderate-to-severe HS was adalimumab, a biologic tumour necrosis factor α inhibitor, the evidence for the use of other treatment classes such as interleukin (IL)-17 inhibitors, IL-1 inhibitors, and Janus kinase inhibitors has been growing. The goal of this review article is to review the available evidence that supports the efficacy and safety of biologics and small molecule immunomodulator treatments to treat adults with moderate-to-severe HS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".