Retrospective Study of 133 Canadian Hidradenitis Suppurativa Patients and Literature Review
Bibliographic record
Abstract
Introduction: Hidradenitis Suppurativa (HS) is a chronic inflammatory condition involving a recalcitrant course with a significant impact on quality of life.Biologics are gaining popularity as a treatment for HS management.Intralesional corticosteroid injections have been useful in treating localized inflammatory dermatoses including HS. Methods and results:The medical charts of a community dermatology practice were reviewed for patients diagnosed with HS from January 1, 2006 to July 1, 2015.Information collected included the patients' demographics, clinical characteristics, comorbidities, and treatments prior to and post dermatologic consultation.A total of 133 patients were identified.A female to male ratio of 3.75:1, mean age of onset of 27.0 + 12.6 years, and mean delay of diagnosis of 6.7 + 8.0 years was determined.Of these patients, 42.9% were Hurley stage I, 49.6% were Hurley stage II, and 7.5% were Hurley stage III.Tobacco exposure accounted for 49.6% of patients.The most common HS treatments included topical antibiotics (66.9%) and systemic antibiotics (54.9%), followed by intralesional steroids (36.8%), spironolactone (18.0%), oral isotretinoin (7.5%), oral contraceptives (6.8%), and biologics (6.0%). Conclusions:The HS prevalence and treatment application in a dermatologic practice were closely related to existing literature.Biologics are a suitable alternative for patients with moderate-to-severe HS, alone or with comorbidities.Intralesional steroids are an effective option in the treatment of localized disease in acute flares, either as monotherapy or adjuvant therapy due to their anti-inflammatory effect.Controlled randomized clinical studies are required to achieve more definitive results.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".