Evidence map›Paper›PMID 33455585›Full record

ArticleBMC neurology2021

Noninvasive real-time assessment of intracranial pressure after traumatic brain injury based on electromagnetic coupling phase sensing technology.

Gen Li, Wang Li, Jingbo Chen, Shuanglin Zhao, Zelin Bai, Qi Liu, Qi Liao, Minglian He, Wei Zhuang, Mingsheng Chen and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neurology, 2021. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Non-Invasive Intracranial Pressure Monitoring.Journal of clinical medicine · 2023
    Review
  3. Article
  4. Article
  5. 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

12 authors.

Gen Li *Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Wang Li *Department of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Jingbo ChenDepartment of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Shuanglin ZhaoDepartment of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Zelin BaiDepartment of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Qi LiuDepartment of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Qi LiaoDepartment of Biomedical Engineering, School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Minglian HeDepartment of Neurosurgery, Southwest Hospital, Army Medical University, 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Wei ZhuangDepartment of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Mingsheng ChenDepartment of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Jian SunDepartment of Biomedical Engineering, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. 30067982@qq.com.
Yujie ChenDepartment of Neurosurgery, Southwest Hospital, Army Medical University, 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yujiechen6886@foxmail.com.ORCID http://orcid.org/0000-0002-9905-9138

Funding

Medical Device Innovation Project 18WKS01Medical Device Innovation Project LJ20182B020149National Key Research and Development Project 2017YFC0111901Science and Technology Research Project of Chongqing Education Commission 2019CJ94Scientific Research Foundation of Chongqing University of Technology 2019ZD27
6 · The paper itself

Abstract

backgroundTo investigate the feasibility of intracranial pressure (ICP) monitoring after traumatic brain injury (TBI) by electromagnetic coupling phase sensing, we established a portable electromagnetic coupling phase shift (ECPS) test system and conducted a comparison with invasive ICP.

methodsTBI rabbits' model were all synchronously monitored for 24 h by ECPS testing and invasive ICP. We investigated the abilities of the ECPS to detect targeted ICP by feature extraction and traditional classification decision algorithms.

resultsThe ECPS showed an overall downward trend with a variation range of - 13.370 ± 2.245° as ICP rose from 11.450 ± 0.510 mmHg to 38.750 ± 4.064 mmHg, but its change rate gradually declined. It was greater than 1.5°/h during the first 6 h, then decreased to 0.5°/h and finally reached the minimum of 0.14°/h. Nonlinear regression analysis results illustrated that both the ECPS and its change rate decrease with increasing ICP post-TBI. When used as a recognition feature, the ability (area under the receiver operating characteristic curve, AUCs) of the ECPS to detect ICP ≥ 20 mmHg was 0.88 ± 0.01 based on the optimized adaptive boosting model, reaching the advanced level of current noninvasive ICP assessment methods.

conclusionsThe ECPS has the potential to be used for noninvasive continuous monitoring of elevated ICP post-TBI.

Indexed as

AlgorithmsAnimalsBrain Injuries, TraumaticElectromagnetic PhenomenaIntracranial HypertensionMaleMonitoring, PhysiologicRabbitsClassification decision algorithmElectromagnetic coupling phase sensingIntracranial pressureNoninvasive monitorTraumatic brain injury

Identifiers

PMID33455585
PMCPMC7812649

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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.