Evidence map›Paper›PMID 35599424›Full record

ArticleZhonghua shao shang yu chuang mian xiu fu za zhi2022

[Research advances on the techniques for diagnosing burn wound depth].

Y J Liu, P Wu, G An, Q Fang, J Zheng, Y B Wang

Abstract read
In one paragraph

Article in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2022. 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. Review
  3. Review
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

6 authors.

Y J LiuThe First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China.
P WuDepartment of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China.
G AnDepartment of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China.
Q FangThe First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China.
J ZhengThe First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China.
Y B WangDepartment of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China.

Funding

Key Research and Development Program of Shandong Province of China 2019GSF108128Major Basic Research Project of Shandong Provincial Natural Science Foundation of China ZR2019ZD38
6 · The paper itself

Abstract

The accurate diagnosis of burn wound depth is particularly important for evaluating the disease prognosis of burn patients. In the past, the diagnosis of burn wound depth often relied on the subjective judgment of doctors. With the continuous development of diagnostic technology, the methods for judging the depth of burn wound have also been updated. This paper mainly summarizes the research progress in the applications of indocyanine green angiography, laser Doppler imaging, laser speckle contrast imaging, and artificial intelligence in the diagnosis of burn wound depth, and compares the advantages and disadvantages of these techniques, so as to provide ideas for accurate diagnosis of burn wound depth.

Indexed as

BurnsWound HealingAngiographyArtificial IntelligenceHumansLaser-Doppler FlowmetrySkin

Identifiers

PMID35599424
PMCPMC11705242

What OpenQuestion holds

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Registered trials

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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.