Evidence map›Paper›PMID 37250859›Full record

ArticleJournal of biomedical optics2023

Sergey M Zaytsev, Marine Amouroux, Valery V Tuchin, Elina A Genina, Walter Blondel

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Sergey M ZaytsevUniversité de Lorraine, CNRS, CRAN UMR 7039, Vandoeuvre-lès-Nancy, France.ORCID 0000-0002-6395-5539
Marine AmourouxUniversité de Lorraine, CNRS, CRAN UMR 7039, Vandoeuvre-lès-Nancy, France.
Valery V TuchinSaratov State University, Science Medical Center and Institute of Physics, Saratov, Russia.ORCID 0000-0001-7479-2694
Elina A GeninaSaratov State University, Science Medical Center and Institute of Physics, Saratov, Russia.ORCID 0000-0002-1223-1100
Walter BlondelUniversité de Lorraine, CNRS, CRAN UMR 7039, Vandoeuvre-lès-Nancy, France.ORCID 0000-0001-5866-7228
Saratov State University · RUCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: The clinical use of optical methods for Aim: OC of Approach: Nine types of OCAs mixtures were used in association with dermabrasion and sonophoresis for OC protocol on three volunteers hand skin. From 3D images obtained every 5 min for 40 min, the intensity and contrast parameters were extracted to assess their changes during the clearing process and evaluate each OCAs mixture's clearing efficacy. Results: The LC-OCT images average intensity and contrast increased over the entire skin depth with all OCAs. The best image contrast and intensity improvement was observed using the polyethylene glycol, oleic acid, and propylene glycol mixture. Conclusions: Complex OCAs featuring reduced component concentrations that meet drug regulation-established biocompatibility requirements were developed and proved to induce significant skin tissues clearing. By allowing deeper observations and higher contrast, such OCAs in combination with physical and chemical permeation enhancers may improve LC-OCT diagnostic efficacy.

Indexed as

SkinTomography, Optical CoherenceHumansImaging, Three-DimensionalPolyethylene GlycolsPropylene GlycolPolyethylene GlycolsPropylene Glycolbiocompatible optical clearing agentdermabrasionhuman skinline-field confocal optical coherence tomographyoptical clearingsonophoresis

Identifiers

PMID37250859
PMCPMC10224698
OpenAlexW4378574514

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.