Evidence map›Paper›PMID 41063894›Full record

ArticleCureus2025

A Non-invasive Imaging Approach to Evaluating the Immediate Mattifying Effects of Topical Skin Care Products: Method Standardization and Validation.

Maheshvari N Patel, Nayan Patel, Apeksha Merja

Abstract read
In one paragraph

Article in Cureus, 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. 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

3 authors.

Maheshvari N PatelClinical Research, NovoBliss Research Private Limited, Ahmedabad, IND.
Nayan PatelClinical Research Operations, NovoBliss Research Private Limited, Ahmedabad, IND.
Apeksha MerjaClinical Research, NovoBliss Research Private Limited, Ahmedabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immediate mattifying effects and pore-minimizing claims are common in facial cosmetics; however, objective and standardized assessment methods remain underreported. This in-house exploratory evaluation aimed to standardize methodology for assessing the reduction in facial pores by using instrumental assessment and image analysis. A split-face design was conducted on 20 healthy female volunteers. A cosmetic leave-on face cream was applied to the right side (treated), while the left side served as an untreated control. Skin roughness, smoothness, and pore size were assessed using the VISIOSCAN VC 20 Plus (Courage+Khazaka electronic GmbH, Cologne, Germany). Pore size and pore area were further evaluated using Image-Pro® 10.0 (Media Cybernetics, Inc., Rockville, Maryland, United States), at baseline and 15 minutes post-application. Application of the test product at the treated site resulted in a measurable reduction in both skin pore size and skin pore area, accompanied by significant improvements in skin surface roughness and smoothness within 15 minutes post application. In contrast, the control site (water-rinse) did not exhibit any notable changes across these parameters. These differences highlight the sensitivity of the analytical approach in detecting early, product-induced skin surface improvements. This in-house exploratory evaluation primarily served to assess the feasibility and robustness of a standardized methodology for evaluating the immediate effects of cosmetic leave-on formulations. By combining high-resolution photographic image analysis with VISIOSCAN VC 20 Plus instrumentation, the study established a reproducible, quantifiable approach for assessing short-term changes in skin surface attributes such as pore size, roughness, and smoothness.

Indexed as

cosmeticsimage analysismattifying effectskin poresskin roughnessskin smoothness

Identifiers

PMID41063894
PMCPMC12501484

What OpenQuestion holds

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Registered trials

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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.