ArticleJournal of cosmetic dermatology2025
A New Predictive Model for Tattoo Removal: Leveraging Patient and Tattoo Characteristics.
Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Clinical outcomes of a vacuum-assisted multimodal picosecond tattoo removal protocol: a retrospective case series.Lasers in medical science · 2026Observational
- A New Predictive Model for Tattoo Removal: Leveraging Patient and Tattoo Characteristics.Journal of cosmetic dermatology · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe objective of this research was to investigate key parameters impacting the process of tattoo removal and to propose a new predictive model for estimating the number of sessions necessary for the complete removal of black tattoos with a picosecond laser.
methodsThis prospective study involved 116 patients aged 18-62 years who visited our center between January 2020 and June 2024 for the full treatment of black tattoos. Data were collected about patient (age, gender, and phototype), tattoo specifics (age, size, location, ink density, country/region where the tattoo was created, if it was realized by an amateur or a professional tattoo artist, tattoo settings) and the total number of laser treatments. Treatments were performed with a Picosure laser (Cynosure, USA) at 755 nm using fluences of 0.69-6.37 J/cm RESULTS AND
conclusionANOVA results revealed that ink density had the most significant impact on laser tattoo removal, followed by tattoo location, age, and design technique (dots, lines, or both). Country/region of origin and whether the tattoo was amateur or professional had a marginal effect, whereas design type (drawing or letters), patient age, skin type, gender, and tattoo size showed no significant influence. Based on these findings, we developed a new efficient predictive tool to estimate the number of picosecond laser sessions required for complete black tattoo removal. The Smarrito-Pineau (SP) model could be readily implemented since variables are easily assessable. It was possible to provide personalized treatment plans and enhance patient satisfaction by offering more accurate treatment timelines.
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Registered trials
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