Efficacy of Laser in Hair Removal: A Network Meta-analysis

J Cosmet Laser Ther. 2023 May 19;25(1-4):7-19. doi: 10.1080/14764172.2023.2221838. Epub 2023 Jul 26.

Abstract

Background: Laser hair removal is an increasingly prevalent trend of cosmetic procedures. The purpose of this study was to assess the effectiveness of hair reduction among several types of laser interventions.

Methods: The selected studies searched in PubMed and EMBASE were assessed for quality of evidence, and extracted data on absolute hair count and hair reduction rate. Qualitative data were synthesized using standardized mean difference (SMD) in frequentist network meta-analysis because various measurement units were used among selected studies. Inconsistency and small study effects were examined by design-by-treatment interaction model and comparison-adjusted funnel plot.

Results: A total of 13 randomized controlled trials (RCTs) (n = 652) were contributed to network meta-analysis. Pooled results revealed that diode laser showed significantly lower absolute hair count within three-month (SMD = -13.21, 95% confidence interval [CI]: -22.25 to -4.17) and around six months follow-up (SMD = -11.01, 95% CI: -18.24 to -3.77) as compared with those in control group, but no significant difference among laser interventions. All side effects observed were transient without leaving any permanent scars.

Conclusion: Eliminating unwanted hair with lasers or intense pulsed light is safe and effective; however, which type of intervention is more beneficial in the long-term process should be studied with a longer follow-up time.

Keywords: Alexandrite; Diode laser; Hair removal; Intense pulsed light; Neodymium:yttrium aluminum garnet (nd:yag).

Publication types

  • Meta-Analysis

MeSH terms

  • Cicatrix / etiology
  • Hair
  • Hair Removal* / methods
  • Humans
  • Laser Therapy* / adverse effects
  • Lasers, Semiconductor / therapeutic use
  • Network Meta-Analysis
  • Treatment Outcome