Bicalutamide and the new perspectives for female pattern hair loss treatment: What dermatologists should know
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
Female pattern hair loss (FPHL) is the most common form of alopecia in women. FPHL may compromise body image and strongly affect self-esteem, negatively impacting quality of life. Currently, the only Food and Drug Administration (FDA) approved drug for its treatment is topical minoxidil, with a variable response rate. Recently, a few studies in FPHL have pointed out bicalutamide as an emergent selective androgen receptor antagonist with a favorable safety and tolerability profile. This review aimed to summarize and discuss the key information on this new therapy for FPHL. Bicalutamide has no diuretic effect. It does not cross the blood-brain barrier, and it has little effect on serum luteinizing hormone. Additionally, bicalutamide was found to be effective on women presenting with other features of hyperandrogenism such as seborrhea, acne, and hirsutism with mild and well-tolerated adverse effects. Despite the high prevalence and psychosocial impairment, FPHL treatment remains challenging. Therefore, although future prospective, comparative, randomized clinical trials are essential to establish the ideal dose and efficacy of the drug, oral bicalutamide appears to be a promising option to expand the arsenal of FPHL treatment.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| 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 | 0.001 |
| 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 it