Major gaps in understanding and treatment of hidradenitis suppurativa
Bibliographic record
Abstract
Hidradenitis suppurativa (HS) is a complex dermatological disease characterized by recurrent painful nodules and suppuration in areas such as the axilla and groin. The disease is poorly understood and treatment is not satisfactory. In October 2016, the Canadian and United States Hidradenitis Suppurativa Foundations organized the inaugural Symposium on Hidradenitis Suppurativa Advances (SHSA) in Toronto, Canada. This meeting brought together experts from Canada, the United States, and Europe to discuss the latest advances in HS. After this important event, we considered that it would be helpful to outline current HS knowledge and to identify important gaps in treatment and research in order to move forward more efficiently. This paper briefly summarizes current knowledge in key areas including epidemiology, clinical presentation and morphological classification, natural history and prognosis, genotype-phenotype correlations, clinico-pathological correlation, pathogenesis, optimal treatment and outcome measures. General and initial suggestions for addressing these gaps are presented.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".