Surgical Deroofing in the Management of Hidradenitis Suppurativa Alone or as an Adjunct to Medical Therapies
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is an inflammatory condition that remains challenging to manage. Deroofing is a surgical technique whereby the "dermal roof" of the entire lesion and sinus tracts are removed. OBJECTIVE: A prospective study was conducted to assess the efficacy and safety of deroofing in the management of both acute and chronic HS lesions in Hurley Stage I-III disease. The role of deroofing as an adjunct to adalimumab and the impact of deroofing on pain control and quality of life (QoL) were also quantified. METHODS: Forty-four patients were enrolled in an open, single arm study treated by a single clinician. In total, 115 lesions were deroofed and patients were followed at 3 and 12 months after deroofing. RESULTS: At 3 and 12 months, the recurrence rate was 10% (12/115) and 11% (13/108), respectively. Deroofing is an effective adjunctive treatment for patients on adalimumab. Deroofing also improved pain and QoL scores. CONCLUSION: Deroofing is a safe and effective surgical technique that can be used for acute and chronic recurrent/fixed lesions in Hurley I-III disease alone or as an adjunct to systemic therapies. Deroofing has a low recurrence rate, reduces pain, and improves QoL.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".