MétaCan
Menu
Back to cohort
Record W4412386398 · doi:10.7759/cureus.87875

From Cells to Strands: A Systematic Review Comparing Exosome Therapy, Platelet-Rich Plasma, and Minoxidil for Androgenetic Alopecia Treatment

2025· review· en· W4412386398 on OpenAlexaff
R. R. Darwish, Kaleigh Wingate, Noura Ayoubi, Bushra Ejaz

Bibliographic record

VenueCureus · 2025
Typereview
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsBrandon Regional Health Authority
Fundersnot available
KeywordsMedicineMinoxidilPlatelet-rich plasmaDermatologySkin AgingExosomeInternal medicinePlateletMicrovesicles

Abstract

fetched live from OpenAlex

Androgenetic alopecia (AGA) is a prevalent condition that significantly impacts psychological well-being and quality of life. Traditional therapies such as minoxidil and platelet-rich plasma (PRP) offer varying degrees of success, while exosome therapy has recently emerged as a potential alternative. This review compares the effectiveness, safety, and patient-centered outcomes of exosome therapy, PRP, and minoxidil in the management of AGA. The findings suggest that exosome therapy shows the most promising results in terms of hair regrowth and safety, followed by PRP, which offers moderate benefits. Minoxidil remains the most accessible treatment, though with more limited effectiveness and the need for continuous use. Overall, exosome therapy appears to hold the greatest potential for long-term improvement. Further research is needed to guide clinical decision-making and optimize treatment outcomes.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.061
GPT teacher head0.345
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCureusSame topicHair Growth and DisordersFrench-language works237,207