Evidence map›Paper›PMID 41394265›Full record

ArticleAesthetic surgery journal. Open forum2025

Predictive Biomarkers: A New Frontier in Bespoke Aesthetic Dermatology.

Diala Haykal, Frédéric Flament, Atchima Suwanchinda, Qian Zheng, Christopher Rowland-Payne, Anne Colonna

Abstract read
In one paragraph

Article in Aesthetic surgery journal. Open forum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Frédéric Flament
Qian Zheng
Christopher Rowland-Payne
Anne Colonna

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As aesthetic dermatology integrates increasingly advanced injectable and energy-based interventions, the need for biologically informed decision-making becomes critical. Complications such as granulomas, fibrosis, and post-inflammatory hyperpigmentation still affect subsets of patients due to interindividual biological variability. This commentary explores the dual role of biomarkers (measurable indicators of process, risk, or response) and hallmarks (phenotypic patterns summarizing underlying biology) in identifying patients at risk of complications, offering real-world applications such as tape stripping to evaluate our molecular patient profile. The potential of artificial intelligence to interpret complex biological signatures is discussed, along with broader implications for long-term personalization in cosmetic care. By aligning treatment protocols with skin biology, aesthetic dermatology would shift toward a predictive and preventive model, ensuring safety, precision, and durable results.

Identifiers

PMID41394265
PMCPMC12696351

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.