Evidence map›Paper›PMID 42028251›Full record

ArticleBiophotonics discovery2025

Effect of skin color and other skin properties on the delivered light dose in phototherapy for neonatal hyperbilirubinemia.

Alida Johanna Dam-Vervloet, Rachel Foppen, Christian Victor Hulzebos, Nienke Bosschaart

Abstract read
In one paragraph

Article in Biophotonics discovery, 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

4 authors.

Alida Johanna Dam-VervloetUniversity of Twente, Faculty of Science and Technology, Biomedical Photonic Imaging Group, Enschede, The Netherlands.
Rachel FoppenUniversity of Twente, Faculty of Science and Technology, Biomedical Photonic Imaging Group, Enschede, The Netherlands.
Christian Victor HulzebosBeatrix Children's Hospital, University Medical Center Groningen, Division of Neonatology, Department of Pediatrics, Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-8159-7501
Nienke BosschaartUniversity of Twente, Faculty of Science and Technology, Biomedical Photonic Imaging Group, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-9232-1079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Hyperbilirubinemia is a common and potentially harmful condition in newborn infants. Phototherapy is the primary treatment for critically high bilirubin levels. Yet, the impact of patient skin properties and the wavelength of the phototherapy light on the delivered light dose remains unclear. Aim: We investigate the impact of patient skin properties, i.e., skin color, hemoglobin concentration, bilirubin concentration, light scattering, epidermal thickness, and subdermal tissue layer type as well as phototherapy wavelength on the delivered light dose and efficacy of phototherapy using a Monte Carlo model. Approach: The model simulates light transport through the skin to predict the delivered dose and its effect on the reduction in total serum bilirubin concentration after 24 h of treatment ( Results: Skin color, bilirubin concentration, and epidermal thickness significantly influenced the delivered light dose and predicted Conclusions: These findings highlight the need for further research into personalized phototherapy protocols to enhance treatment efficacy, particularly for hyperbilirubinemic newborn infants with darker skin.

Indexed as

hyperbilirubinemiaMonte Carlo simulationsnewborn infantsoptical propertiesphototherapyskin color

Identifiers

PMID42028251
PMCPMC13052484

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.