Evidence map›Paper›PMID 38298748›Full record

ArticleThe Journal of clinical and aesthetic dermatology2024

Novel Application of 1064-nm Picosecond Nd:YAG Laser for Male Androgenetic Alopecia Treatment.

Suparuj Lueangarun, Therdpong Tempark

Open access · greenAbstract read
In one paragraph

Article in The Journal of clinical and aesthetic dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 15% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Suparuj LueangarunDr. Lueangarun is with the Department of Anti-Aging and Regenerative Medicine Medicine, College of Integrative Medicine at Dhurakij Pundit University in Bangkok, Thailand, and the Division of Dermatology at the DeMed Clinic Center in Bangkok, Thailand.
Therdpong TemparkDr. Tempark is with the Department of Pediatrics and Faculty of Medicine at King Chulalongkorn Memorial Hospital at Chulalongkorn University in Bangkok, Thailand.
Dhurakij Pundit University · THKing Chulalongkorn Memorial Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are limitations and side effects of currently approved treatments for AGA, such as topical minoxidil, oral finasteride, and low-level light therapy. Objective: This study aimed to investigate the potential of fractional picosecond laser (FPL) therapy for promoting hair regrowth. Methods: This was a pilot study in which five male participants were treated with a 1064-nm FPL for mild-to-moderate AGA. The patients underwent three treatments at four-week intervals, followed by a four-week post-procedure assessment. Expert panel assessment score and patient satisfaction was assessed using a seven-point scale. Dermoscopic analysis was conducted to evaluate hair shafts. Adverse effects were also monitored. Results: Clinical improvement was observed at 1 to 4 months after treatment, with a significant increase in expert panel assessment scores ( Conclusion: The preliminary study demonstrates the potential of 1064-nm FPL for promoting hair regrowth in male pattern hair loss. Nonetheless, further research is recommended to elucidate and ratify for the optimization of this promising treatment approach.

Indexed as

1064-nm Picosecond LaserAndrogenetic AlopeciaFractional Laser TherapyFractional Picosecond laserHair Loss TreatmentLaser-Induced Optical Breakdown (LIOB)

Identifiers

PMID38298748
PMCPMC10826837
OpenAlexW4394739402

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.