Evidence map›Paper›PMID 38386189›Full record

ArticleLasers in medical science2024

Dosimetry in cranial photobiomodulation therapy: effect of cranial thickness and bone density.

Sergio Castaño-Castaño, Candela Zorzo, Juan Á Martínez-Esteban, Jorge L Arias

Open access · hybridAbstract read
In one paragraph

Article in Lasers in medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Sergio Castaño-CastañoDepartment of Psychology, University of Oviedo, 33003, Oviedo, Spain. castanosergio@uniovi.es.ORCID http://orcid.org/0000-0003-4571-769X
Candela ZorzoDepartment of Psychology, University of Oviedo, 33003, Oviedo, Spain.
Juan Á Martínez-EstebanHealth Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain.
Jorge L AriasDepartment of Psychology, University of Oviedo, 33003, Oviedo, Spain. jarias@uniovi.es.
Universidad de Oviedo · ES

Funding

FEDER FICYT SV-PA-21-AYUD/2021/51378Ministry of Sciences and Innovation Spain PID2020-117259RB-I00
6 · The paper itself

Abstract

This research aims to examine the influence of human skull bone thickness and density on light penetration in PBM therapy across different wavelengths, focusing on how these bone characteristics affect the absorption of therapeutic light. Analyses explored the effect of skull bone density and thickness on light penetration in PBM, specifically using Low-Level Laser Therapy (LLLT) for efficacy prediction. Measurements of bone thickness and density were taken using precise tools. This approach emphasizes LLLT's significance in enhancing PBM outcomes by assessing how bone characteristics influence light penetration. The study revealed no significant correlation between skull bone density and thickness and light penetration capability in photobiomodulation (PBM) therapy, challenging initial expectations. Wavelengths of 405 nm and 665 nm showed stronger correlations with bone density, suggesting a significant yet weak impact. Conversely, wavelengths of 532 nm, 785 nm, 810 nm, 830 nm, 980 nm, and 1064 nm showed low correlations, indicating minimal impact from bone density variations. However, data variability (R

Indexed as

Low-Level Light TherapyBone DensityHeadHumansRadiometrySkullLaserLinear modelLogarithmic modelPhoteraphySkull

Identifiers

PMID38386189
PMCPMC10884051
OpenAlexW4392054114

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.