Adalimumab in Treatment-Resistant Hidradenitis Suppurativa following Recurrence after Extensive Affected Area Excision: A Review of Biologics Therapy
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is characterized by chronic, suppurative abscesses, sinus tracts, and fistulas affecting the axilla, groin, and perianal region resulting from hyperkeratosis and occlusion of the terminal hair follicle. OBJECTIVE: This report highlights the use of biologic agents for the treatment of recalcitrant HS. METHOD: We report on a 48-year-old male with a 15-year history of refractory perianal-inguinal-buttock HS who, despite receiving numerous surgical drainages and traditional medical treatment for HS, still had severe pain. After trialing etanercept and infliximab with methotrexate, the patient had marked improvement with adalimumab. A literature review of biologics therapy was also performed. RESULTS: After trialing many traditional therapies, we found that adalimumab appears to be the most effective treatment modality for our patient. A literature search revealed 53 articles on biologics therapy in HS. These articles are summarized. DISCUSSION: Biologic agents have been shown to have variable results in the treatment of refractory HS. Enough low-grade evidence has been accumulated to make the use of these agents suitable in HS. Until more clinical trials are performed on this topic, physicians should use clinical judgment when treating HS with biologic agents and be cautious by watching for significant adverse effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".