Frontal Fibrosing Alopecia: An Emerging Epidemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the initial description of frontal fibrosing alopecia (FFA) in 1994, increasingly more cases of FFA have been reported in literature. Although clear epidemiologic data on the incidence and prevalence of FFA is not available, it is intriguing to consider whether FFA should be labeled as an emerging epidemic. A medline trend analysis as well as literature review using keywords "alopecia," "hair loss," and "cicatrical" were performed. Medline trend analysis of published FFA papers from 1905 to 2016 showed that the number of publications referenced in Medline increased from 1 (0.229%) in 1994 to 44 (3.5%) in 2016. The number of patients per published cohort also increased dramatically since the first report of FFA. Over the time period of January 2006-2016, our multi hair-referral centers collaboration study also showed a significant increase in new diagnoses of FFA. At this juncture, the cause for the rapid rise in cases is one of speculation. It is plausible that a cumulative environmental or toxic factor may trigger hair loss in FFA. Once perhaps a "rare type" of cicatricial alopecia, FFA is now being seen in a frequency in excess of what is expected, thus suggestive of an emerging epidemic.
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.
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) | 0.000 | 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) | 0.002 | 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 it