A Pilot Randomized Controlled Trial (RCT) Evaluating the Efficacy of an Exosome-Containing Plant Extract Formulation for Treating Male Alopecia
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Bibliographic record
Abstract
Background/Objectives: Hair loss affects self-esteem, confidence, and psychological well-being. Exosomes, as molecular carriers of growth factors and active compounds, offer a promising treatment. This study evaluates the efficacy of an exosome formulation containing extracts from two known hair-regenerating plants, Ecklonia cava and Thuja orientalis (ECPE), for male pattern alopecia. Methods: A randomized controlled trial included 20 male participants with Norwood grade 2–3 androgenetic alopecia who were randomly assigned into two groups, placebo (0.9% sodium chloride) and ECPE, administered bi-weekly across four sessions. Evaluations included hair density measurements, adverse effect tracking, and self-assessments. Results: Most participants (55%) were aged 18 to 35, with 75% reporting hair loss for over a year and 80% noting scalp thinning. The hair counts showed no significant change in the placebo group from baseline to week 16 (Wilcoxon signed-rank test: V = 13.5, p = 0.163), while a significant increase was observed in the ECPE group (V = 0, p = 0.002). Between-group analysis revealed a significant difference in the hair count changes (Wilcoxon rank-sum test: W = 86.5, p = 0.006) with a large effect size (Cliff’s Delta: & = 0.73, 95% CI: 0.41–0.89), with the ECPE group showing higher median hair growth (9.5, IQR = 16.88) compared to the placebo group (1.5, IQR = 3.00). A Bayesian ANCOVA, adjusted for covariates (the father’s scalp hair condition, baseline hair count, and Norwood classification), showed no significant effect of these factors on the outcomes. Conclusions: These findings suggest that ECPE significantly improves hair regrowth compared to the placebo, with no notable adverse effects.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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