Evidence map›Paper›PMID 35448269›Full record

ArticleBiosensors2022

Temperature Distribution of Vessel Tissue by High Frequency Electric Welding with Combination Optical Measure and Simulation.

Hao Wang, Xingjian Yang, Naerzhuoli Madeniyeti, Jian Qiu, Caihui Zhu, Li Yin, Kefu Liu

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors at 1 institution in 1 country.

Hao WangAcademy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
Xingjian YangAcademy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
Naerzhuoli MadeniyetiAcademy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
Jian QiuSchool of Information Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China.
Caihui ZhuSchool of Information Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China.
Li YinSchool of Information Science and Engineering, Fudan University, 220 Handan Road, Shanghai 200433, China.
Kefu LiuAcademy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.ORCID 0000-0001-8249-2800
Fudan University · CN

Funding

National Natural Science Foundation of China 51877046Pioneering Project of Academy for Engineering and Technology of Fudan University gyy2018-002
6 · The paper itself

Abstract

In clinical surgery, high frequency electric welding is routinely utilized to seal and fuse soft tissues. This procedure denatures collagen by electrothermal coupling, resulting in the formation of new molecular crosslinks. It is critical to understand the temperature distribution and collagen structure changes during welding in order to prevent thermal damage caused by heat generated during welding. In this study, a method combining optical measurement and simulation was presented to evaluate the temperature distribution of vascular tissue during welding, with a fitting degree larger than 97% between simulation findings and measured data. Integrating temperature distribution data, strength test data, and Raman spectrum data, it is discovered that optimal parameters exist in the welding process that may effectively prevent thermal damage while assuring welding strength.

Indexed as

WeldingElectricityTemperatureelectrosurgeryRaman spectrumtemperature distributiontissue welding

Identifiers

PMID35448269
PMCPMC9030393
OpenAlexW4220906381

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.