Evidence mapPaperPMID 37237607Full record

ArticleBioengineering (Basel, Switzerland)2023

Non-Invasive Monitoring of Cutaneous Wound Healing in Non-Diabetic and Diabetic Model of Adult Zebrafish Using OCT Angiography.

Jaeyoung Kim, Suhyun Kim, Woo June Choi

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Dermal Dive: An Overview of Cutaneous Wounding Techniques in Zebrafish.The Journal of investigative dermatology · 2024
    Review
  3. Article
  4. Cuban Policosanol (RaydelPharmaceuticals (Basel, Switzerland) · 2024
    Article
  5. An inducible model of chronic hyperglycemia.Disease models & mechanisms · 2023
    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

3 authors at 3 institutions in 2 countries.

Jaeyoung KimResearch Institute for Skin Image, Korea University College of Medicine, Seoul 08308, Republic of Korea.ORCID 0000-0001-8889-6953
Suhyun KimDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0000-0001-7425-1310
Woo June ChoiSchool of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.ORCID 0000-0003-0793-2735
BC Cancer Agency · CAChung-Ang University · KRKorea University · KR

Funding

Ministry of Education 2020R1A5A1018052National Research Foundation of Korea 2022R1I1A1A01071220Technology Innovation Program 20021979
6 · The paper itself

Abstract

A diabetic wound presents a severe risk of infections and other complications because of its slow healing. Evaluating the pathophysiology during wound healing is imperative for wound care, necessitating a proper diabetic wound model and assay for monitoring. The adult zebrafish is a rapid and robust model for studying human cutaneous wound healing because of its fecundity and high similarities to human wound repair. OCTA as an assay can provide three-dimensional (3D) imaging of the tissue structure and vasculature in the epidermis, enabling monitoring of the pathophysiologic alterations in the zebrafish skin wound. We present a longitudinal study for assessing the cutaneous wound healing of the diabetic adult zebrafish model using OCTA, which is of importance for the diabetes research using the alternative animal models. We used non-diabetic (

Indexed as

adult zebrafishdiabetic woundoptical coherence tomography angiographywound healing

Identifiers

PMID37237607
PMCPMC10215851
OpenAlexW4367316076

What Socratic 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 Socratic graph.