Comparative Efficacy of Minoxidil and 5‐Alpha Reductase Inhibitors Monotherapy for Male Pattern Hair Loss: Network Meta‐Analysis Study of Current Empirical Evidence
Bibliographic record
Abstract
BACKGROUND: Treatment options for male androgenetic alopecia (AGA) range from pharmacologic agents-such as minoxidil, finasteride, and dutasteride-to newer procedural and experimental therapies. AIMS: We determined the relative effect of the various dosages and administrative routes of minoxidil, finasteride and dutasteride through network meta-analysis (NMA) of relevant outcome measures. METHODS: We conducted a systematic review to identify eligible studies. Our NMAs included studies that investigated monotherapy with minoxidil, finasteride, and dutasteride of any dosage and route on the following 5 outcomes: 24- and 48-week changes in total and terminal hair density, and 24-week change in independent observer assessment (IOA). We assessed evidence quality and performed sensitivity and node-splitting analyses of inconsistency. Each NMA produced estimates for pairwise relative effects and surface under the cumulative ranking curve (SUCRA) values. RESULTS: Our search found 33 eligible studies across which 19 comparators (18 interventions and 1 control) were identified. The active comparators included minoxidil (oral, topical, sublingual), finasteride (oral, topical, mesotherapy) and dutasteride (oral, mesotherapy). The control node amalgamated placebo and vehicle arms. CONCLUSIONS: We found dutasteride 0.5 mg/day to be the most effective option. Among FDA-approved treatments, topical minoxidil 5% was the most effective topical monotherapy, while finasteride 1 mg/day was the most effective oral option. Dutasteride mesotherapy appears significantly less effective than oral administration (0.5 mg/day).
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".