Bicalutamide and the new perspectives for female pattern hair loss treatment: What dermatologists should know
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.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".