Evidence map›Paper›PMID 41446715›Full record

ArticleThe Journal of clinical and aesthetic dermatology2025

Development of a Novel Facial Age Assessment Model in a Multiethnic Population for Evaluation of Topical Anti-Aging Products.

Denise DiCanio, Edward Ted Lain, James Del Rosso, Eric Yovine, Hillary Kerns, Elizabeth Bruning, Catherine Fennessy, Hao Ouyang, Claude Saliou

Abstract read
PubMed Full text at PMC
In one paragraph

Article in The Journal of clinical and aesthetic 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. 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

9 authors.

Denise DiCanioDrs. DiCanio, Kerns, and Saliou, and Ms. Fennessy are with The Estée Lauder Companies, Research and Development, in Melville, New York.
Edward Ted LainDr. Lain is with Sanova Dermatology in Austin, Texas.
James Del RossoDr. Del Rosso is with Del Rosso Dermatology Research Center in Las Vegas, Nevada.
Eric YovineMr. Yovine is with EGY Statistical Services, Inc. in Bronx, New York.
Hillary KernsDrs. DiCanio, Kerns, and Saliou, and Ms. Fennessy are with The Estée Lauder Companies, Research and Development, in Melville, New York.
Elizabeth BruningMs. Bruning and Dr. Ouyang were with The Estée Lauder Companies, Research and Development, in Melville, New York at the time of writing.
Catherine FennessyDrs. DiCanio, Kerns, and Saliou, and Ms. Fennessy are with The Estée Lauder Companies, Research and Development, in Melville, New York.
Hao OuyangMs. Bruning and Dr. Ouyang were with The Estée Lauder Companies, Research and Development, in Melville, New York at the time of writing.
Claude SaliouDrs. DiCanio, Kerns, and Saliou, and Ms. Fennessy are with The Estée Lauder Companies, Research and Development, in Melville, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to develop a novel validated computational algorithm for calculating facial age based on the key universal parameters of the face and eyes that contribute to facial aging in women, independent of ethnicity and Fitzpatrick skin type.

methodsDigital facial images of women (n=2825) of 4 different ethnicities, across all Fitzpatrick skin types (I-VI), were evaluated and scored on 15 facial aging markers using a 0 to 10 photonumeric scale (0=no sign of aging; 10=severe signs of aging). Least squares linear multiple regression analysis was performed to identify parameters that contribute independently to observable skin aging and to develop a mathematical algorithm to calculate facial age based on these parameters.

resultsThe identified key universal parameters contributing to facial age, independent of ethnicity or skin type, were nasolabial folds, under eye lines, elongated cheek pores, forehead lines, under eye puffiness, uneven skin tone, and marionettes, which explained 71% of the variation in age. All parameters increased with age but at different rates, with forehead and marionette lines showing the largest changes with each progressive decade.

conclusionThe algorithm developed for calculating facial age based on visual assessments of 7 identified key parameters may be an objective method to evaluate the efficacy of topical anti-aging products.

Indexed as

age predictioncalculated facial ageFacial agingmultiethnic age modelskin aging

Identifiers

PMID41446715
PMCPMC12724982

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.