Evidence map›Paper›PMID 33584908›Full record

ArticleJournal of electrical bioimpedance2020

Design of a Drop-in EBI Sensor Probe for Abnormal Tissue Detection in Minimally Invasive Surgery.

Guanming Zhu, Liang Zhou, Shilong Wang, Pengjie Lin, Jing Guo, Shuting Cai, Xiaoming Xiong, Xiaobing Jiang, Zhuoqi Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of electrical bioimpedance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Guanming ZhuSchool of Automation, Guangdong University of Technology.
Liang ZhouSchool of Automation, Guangdong University of Technology.
Shilong WangSchool of Automation, Guangdong University of Technology.
Pengjie LinSchool of Automation, Guangdong University of Technology.
Jing GuoSchool of Automation, Guangdong University of Technology.
Shuting CaiSchool of Automation, Guangdong University of Technology.
Xiaoming XiongSchool of Automation, Guangdong University of Technology.
Xiaobing JiangDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine.
Zhuoqi ChengThe Mærsk Mc-Kinney Møller Institute, University of Southern Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is a common challenge for the surgeon to detect pathological tissues and determine the resection margin during a minimally invasive surgery. In this study, we present a drop-in sensor probe based on the electrical bioimpedance spectroscopic technology, which can be grasped by a laparoscopic forceps and controlled by the surgeon to inspect suspicious tissue area conveniently. The probe is designed with an optimized electrode and a suitable shape specifically for Minimally Invasive Surgery (MIS). Subsequently, a series of

Indexed as

discriminant analysisdrop-in sensor probeelectrical bioimpedance spectroscopyLaparoscopic surgery

Identifiers

PMID33584908
PMCPMC7851984

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.