Evidence map›Paper›PMID 41200157›Full record

ArticleClinical, cosmetic and investigational dermatology2025

Using High Frequency Ultrasound to Assess the Efficacy of Anti-Cellulite Treatments.

Robert Krzysztof Mlosek, Sylwia Patrycja Malinowska

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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.

Robert Krzysztof MlosekDiagnostic Ultrasound Lab, Department of Pediatric Radiology, Medical University of Warsaw, Warsaw, Poland.ORCID 0000-0001-9295-3164
Sylwia Patrycja MalinowskaLife-Beauty - Private Company, Grodzisk Mazowiecki, Poland.ORCID 0000-0002-5707-9632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The number of anti-cellulite therapies has been increasing steadily, as cellulite is an undesirable cosmetic defect affecting approximately 90% women worldwide. Despite this plethora of treatments, an objective method to enable their efficacy assessment is yet to be established. Purpose: The aim of the study was to assess the usefulness of high frequency ultrasonography for evaluating the effectiveness of anti-cellulite therapy. Patients and Methods: Eighty-four women aged 21-66 years with cellulite were randomised to one of 3 groups to receive one of three anti-cellulite treatments - ALIDYA™ mesotherapy treatment [Group 1, G1], cellulite-reducing body wrap treatment [Group 2, G2] or Endermologie Results: A significant reduction in subcutaneous tissue thickness, skin echogenicity and surface area of fat protrusions at the dermal-subcutaneous junction was demonstrated. There was a significant reduction of dermal thickness G2 and G3, but not in G1. Reduction in thigh circumference and BMI was also statistically significant in each group. Correlations were demonstrated between cellulite severity and the surface area of fat protrusions at the dermal subcutaneous junction and subcutaneous tissue thickness. The participants in G3 reported highest satisfaction with treatment outcomes. Conclusion: The present study demonstrated that high frequency ultrasound enables efficacy assessment of anti-cellulite treatments and, as a reliable, available and easy to use assessment method, it has a potential to become a common aspect of daily clinical practice. Further research is warranted to develop a uniform assessment protocol and standards.

Indexed as

anti-cellulite therapiescellulitehigh frequency ultrasoundultrasound

Identifiers

PMID41200157
PMCPMC12587868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.