Evidence map›Paper›PMID 23528212›Full record

ArticleExperimental dermatology2013

Non-invasive diffuse reflectance measurements of cutaneous melanin content can predict human sensitivity to ultraviolet radiation.

Sergio G Coelho, Barbara Z Zmudzka, Lanlan Yin, Sharon A Miller, Yuji Yamaguchi, Taketsugu Tadokoro, Vincent J Hearing, Janusz Z Beer

Abstract read
In one paragraph

Article in Experimental dermatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

8 authors.

Sergio G CoelhoLaboratory of Cell Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. coelhos@mail.nih.gov
Barbara Z Zmudzka
Lanlan Yin
Sharon A Miller
Yuji Yamaguchi
Taketsugu Tadokoro
Vincent J Hearing
Janusz Z Beer

Funding

Biochemistry of Melanins and Photoprotection of the SkinZIABC010784 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEARING, VINCENT J · 2009 to 2014
$2.2M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC010784NCI NIH HHS Y99 CA999999
6 · The paper itself

Abstract

The diversity of human skin phenotypes and the ubiquitous exposure to ultraviolet radiation (UVR) underscore the need for a non-invasive tool to predict an individual's UVR sensitivity. We analysed correlations between UVR sensitivity, melanin content, diffuse reflectance spectroscopy (DR) and UVR-induced DNA damage in the skin of subjects from three racial/ethnic groups: Asian, black or African American and White. UVR sensitivity was determined by evaluating each subject's response to one minimal erythemal dose (MED) of UVR one day after the exposure. Melanin content was measured using DR and by densitometric analysis of Fontana-Masson staining (FM) in skin biopsies taken from unexposed areas. An individual's UVR sensitivity based on MED was highly correlated with melanin content measured by DR and by FM. Therefore, a predictive model for the non-invasive determination of UVR sensitivity using DR was developed. The MED precision was further improved when we took race/ethnicity into consideration. The use of DR serves as a tool for predicting UVR sensitivity in humans that should be invaluable for determining appropriate UVR doses for therapeutic, diagnostic and/or cosmetic devices.

Indexed as

AdultDNA DamageErythemaFemaleHumansMaleMelaninsMiddle AgedModels, BiologicalRadiation ToleranceSkinSkin PigmentationSpectrum AnalysisUltraviolet RaysMelanins

Identifiers

PMID23528212
PMCPMC3609039

What OpenQuestion holds

Textmetadata
LicenceTDM
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.