ReviewJournal of clinical medicine2024
Physical Treatments and Therapies for Androgenetic Alopecia.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Full-Spectrum phototherapy in hair loss management: a systematic review of wavelength-dependent mechanisms, clinical efficacy, and future directions.Lasers in medical science · 2025Pooled it
- Safety and clinical considerations of alopecia therapies during pregnancy, fertility treatment, and polycystic ovary syndrome workup.International journal of women's dermatology · 2026Review
- Overview of Short Peptides for Hair Loss.Biomedicines · 2026Review
- Biomedical Technologies for Androgenic Alopecia Treatment: Advance, Mechanism and Future Direction.Research (Washington, D.C.) · 2026Review
- Hair Longevity-Evidence for a Multifactorial Holistic Approach to Managing Hair Aging Changes.Journal of clinical medicine · 2025Review
- Black phosphorus nanosheets encapsulated microneedle for multifunctional therapy for androgenic alopecia.Journal of nanobiotechnology · 2025Article
- Androgenetic Alopecia: An Update on Pathogenesis and Pharmacological Treatment.Drug design, development and therapy · 2025Review
- Patients treated with thinner artificial hair implants: a case series.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Androgenetic alopecia, the most common cause of hair loss affecting both men and women, is typically treated using pharmaceutical options, such as minoxidil and finasteride. While these medications work for many individuals, they are not suitable options for all. To date, the only non-pharmaceutical option that the United States Food and Drug Administration has cleared as a treatment for androgenetic alopecia is low-level laser therapy (LLLT). Numerous clinical trials utilizing LLLT devices of various types are available. However, a myriad of other physical treatments for this form of hair loss have been reported in the literature. This review evaluated the effectiveness of microneedling, pulsed electromagnetic field (PEMF) therapy, low-level laser therapy (LLLT), fractional laser therapy, and nonablative laser therapy for the treatment of androgenetic alopecia (AGA). It also explores the potential of multimodal treatments combining these physical therapies. The majority of evidence in the literature supports LLLT as a physical therapy for androgenetic alopecia. However, other physical treatments, such as nonablative laser treatments, and multimodal approaches, such as PEMF-LLLT, seem to have the potential to be equally or more promising and merit further exploration.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.