Race-Specific Prevalence of Hidradenitis Suppurativa
Bibliographic record
Abstract
Hidradenitis suppurativa (HS) is a chronic, inflammatory disease affecting approximately 1% of the global population. While age- and sex-specific prevalence of HS is well documented in literature, few studies have explored trends in racial predilections for HS. The objective of this study is to investigate the race-specific prevalence of HS. MEDLINE and EMBASE searches were conducted in the OVID database. Keywords included variations of "race," "ethnicity," "country," "prevalence," and "Hidradenitis suppurativa." Studies were included if they were written in English or French, conducted on human participants, and had data on HS and race-specific prevalence. Meta-analyses, systematic and literature reviews, and irrelevant articles were excluded. Thirty-nine out of 184 articles met the inclusion criteria after abstract and full-text screening. Population distribution was scaled according to country-specific demographics reports. These demographic reports were extracted from each country's national statistics report. The average HS prevalence rates were highest in African American populations (1.3%), lowest in Hispanics/Latinos (0.07%), and intermediate amongst Caucasian populations (0.75%). Total prevalence in all other ethnic groups (0.17%) was minor in comparison to African American and Caucasian populations. Since the highest rates of HS were found among African American population, literature has highlighted the possibility of a genetic etiology in HS development. However, further literature examining race-specific prevalence of HS internationally is required to accurately assess the frequency and underlying etiology of HS among varying racial populations.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".