Evidence map›Paper›PMID 35684721›Full record

ArticleSensors (Basel, Switzerland)2022

Dynamic Impedance Analysis of Intestinal Anastomosis during High-Frequency Electric Field Welding Process.

Li Yin, Caihui Zhu, Jianzhi Xu, Hui Zhao, Jian Qiu, Hao Wang, Kefu Liu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
1.3field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Li YinSchool of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.ORCID 0000-0002-5833-1414
Caihui ZhuSchool of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
Jianzhi XuSchool of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.ORCID 0000-0001-9060-9722
Hui ZhaoSchool of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.ORCID 0000-0003-2384-1606
Jian QiuSchool of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.
Hao WangAcademy for Engineering & Technology, Fudan University, 220 Handan Road, Shanghai 200433, China.ORCID 0000-0002-1115-5222
Kefu LiuSchool of Information Science and 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

The success rate of the electrosurgical high-frequency electric field welding technique lies in reasonable control of the welding time. However, the final impedance value used to control the welding time varies due to differences in tissue size and the welding method during the welding process. This study aims to introduce a new reference indicator not limited by impedance size from dynamic impedance to achieve an adequate weld strength with minimal thermal damage, providing feedback on the tissue welding effect in medical power supplies. End-to-end anastomosis experiments were conducted with porcine small intestine tissue under seven levels of compression pressure. The dynamic impedance changes were analyzed, combined with compression pressure, temperature, moisture, and collagen during welding. The welding process was divided into three stages according to the dynamic impedance, with impedance decreasing in Period Ⅰ and impedance increasing in Period Ⅲ. Period Ⅲ was the key to high-strength connections due to water evaporation and collagen reorganization. The dynamic impedance ratio is defined as the final impedance divided by the minimum impedance, and successful welding would be predicted when detecting the dynamic impedance ratio over 4 (n = 70, p < 0.001). Dynamic impedance monitoring can be used as a macroscopic real-time prediction of the anastomosis effect.

Indexed as

WeldingAnastomosis, SurgicalAnimalsElectric ImpedancePressureSwineTemperaturebursting pressurecompression pressuredynamic impedanceelectrosurgeryhigh-frequency electric field weldingwelding process

Identifiers

PMID35684721
PMCPMC9185443
OpenAlexW4281771552

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.