Evidence map›Paper›PMID 36010618›Full record

ReviewCells2022

Skin-Aging Pigmentation: Who Is the Real Enemy?

Jin Cheol Kim, Tae Jun Park, Hee Young Kang

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
9.9field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 91 citations in OpenAlex.

  1. Trial
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  6. Oral consumption of Bonito fish-derived elastin peptide (VGPG ElastinSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Trial
  7. Synergistic Effects of Solar Exposure and Skin Sensitivity on Skin Aging: A Clinical Study Using Multimodal Noninvasive Measurements.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026
    Observational
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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 at 1 institution in 1 country.

Jin Cheol KimDepartment of Dermatology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID 0000-0003-3820-8811
Tae Jun ParkDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.
Hee Young KangDepartment of Dermatology, Ajou University School of Medicine, Suwon 16499, Korea.
Ajou University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin aging is induced and sustained by chronological aging and photoaging. Aging skin pigmentation such as mottled pigmentation (senile lentigo) and melasma are typical signs of photoaging. The skin, like other human organs, undergoes cellular senescence, and senescent cells in the skin increase with age. The crosstalk between melanocytes as pigmentary cells and other adjacent types of aged skin cells such as senescent fibroblasts play a role in skin-aging pigmentation. In this review, we provide an overview of cellular senescence during the skin-aging process. The discussion also includes cellular senescence related to skin-aging pigmentation and the therapeutic potential of regulating the senescence process.

Indexed as

Skin AgingSkin PigmentationAgedAgingCellular SenescenceHumansMelanocytesagingcellular senescencefibroblastskeratinocytesmelanocytessenescenceskin pigmentation

Identifiers

PMID36010618
PMCPMC9406699
OpenAlexW4292291567

What OpenQuestion 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 OpenQuestion graph.