Evidence map›Paper›PMID 40338500›Full record

ArticlePhotochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology2025

Investigating the wound healing potential of low-power 661 nm laser light in a pigmented hairless murine model.

Dimitra Statha, Ioannis Sfiniadakis, Michail Rallis, Jane Anastassopoulou, Eleni Alexandratou

Abstract read
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In one paragraph

Article in Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Shining a Light on Skeletal Muscle Regeneration: Red Photobiomodulation Boosts Myoblast Differentiation In Vitro.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  3. 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

5 authors.

Dimitra StathaLaboratory of Biomedical Optics and Applied Biophysics, School of Electrical and Computer Engineering, National Technical University of Athens, Zografou Campus, 15780, Athens, Greece.
Ioannis SfiniadakisPathologoanatomic Laboratory, Athens Naval Hospital, 11521, Athens, Greece.
Michail RallisSection of Pharmaceutical Technology, Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15784, Athens, Greece.
Jane AnastassopoulouSection of Pharmaceutical Technology, Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15784, Athens, Greece.
Eleni AlexandratouLaboratory of Biomedical Optics and Applied Biophysics, School of Electrical and Computer Engineering, National Technical University of Athens, Zografou Campus, 15780, Athens, Greece. ealexan@central.ntua.gr.ORCID http://orcid.org/0000-0001-9360-9314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photobiomodulation (PBM) has emerged as a promising method for enhancing wound healing. However, a standardized therapeutic protocol has not yet been established. This study aimed to determine the optimal irradiation parameters for wound healing in pigmented hairless mice (SKH-hr2). Mice were irradiated daily with energy doses of 2 or 4 J/cm

Indexed as

LasersLow-Level Light TherapyWound HealingAnimalsDisease Models, AnimalMiceMice, HairlessSkinSpectroscopy, Fourier Transform InfraredInfrared spectroscopyIn vivoLow-level laser therapyMelaninPhotobiomodulationWound healing

Identifiers

What OpenQuestion holds

Textmetadata
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.