Bimatoprost 0.03% for the Treatment of Eyebrow Hypotrichosis
Bibliographic record
Abstract
BACKGROUND: Eyebrow loss may have substantial negative functional and social consequences. OBJECTIVE: Evaluate the safety and efficacy of bimatoprost 0.03% in subjects with eyebrow hypotrichosis. METHODS: This multicenter, double-masked study randomized adult females or males with eyebrow hypotrichosis to receive bimatoprost 0.03% twice (BID) or once daily (QD) or vehicle BID for 7 months. Primary endpoint was overall eyebrow fullness at Month 7. Secondary endpoints included eyebrow fullness (mm), darkness (intensity units), and subject satisfaction with treatment. Safety was also assessed. RESULTS: At Month 7, the proportion of subjects with improvement was significantly higher in bimatoprost groups versus vehicle (both, p < .001). Improvements occurred in both bimatoprost groups versus vehicle after Month 1 and continued through follow-up; eyebrow fullness and darkness improved as early as Months 2 and 1, respectively (both, p < .001). Greater satisfaction was reported with bimatoprost versus vehicle at Month 2 and all subsequent time points. Overall, 38.1%, 42.4%, and 35.5% of subjects in the bimatoprost BID, QD, and vehicle groups, respectively, experienced ≥1 treatment-emergent adverse event (TEAE). Most frequent TEAEs were similar across groups. No skin or iris hyperpigmentation or conjunctival hyperemia occurred. CONCLUSION: Bimatoprost 0.03% BID and QD is safe, well tolerated, and effective for eyebrow hypotrichosis.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".