Evidence map›Paper›PMID 34073915›Full record

ArticleSensors (Basel, Switzerland)2021

EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model.

Heejin Kim, Ki Hong Kim, Ki Jeong Hong, Yunseo Ku, Sang Do Shin, Hee Chan Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Heejin KimClinical Trials Center, Seoul National University Hospital, Seoul 03080, Korea.
Ki Hong KimDepartment of Emergency Medicine, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0003-2115-0078
Ki Jeong HongDepartment of Emergency Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Yunseo KuDepartment of Biomedical Engineering, Chungnam National University College of Medicine, 266 Munwha-ro, Jung-gu, Daejeon 35015, Korea.ORCID 0000-0003-2737-4427
Sang Do ShinDepartment of Emergency Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Hee Chan KimDepartment of Biomedical Engineering, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0002-2112-426X

Funding

Chungnam National University NoneMinistry of Trade, Industry and Energy R0004491
6 · The paper itself

Abstract

The recovery of cerebral circulation during cardiopulmonary resuscitation (CPR) is important to improve the neurologic outcomes of cardiac arrest patients. To evaluate the feasibility of an electroencephalogram (EEG)-based prediction model as a CPR feedback indicator of high- or low-CBF carotid blood flow (CBF), the frontal EEG and hemodynamic data including CBF were measured during animal experiments with a ventricular fibrillation (VF) swine model. The most significant 10 EEG parameters in the time, frequency and entropy domains were determined by neighborhood component analysis and Student's

Indexed as

Cardiopulmonary ResuscitationHeart ArrestAnimalsElectroencephalographyHemodynamicsHumansSwineVentricular Fibrillationcardiopulmonary resuscitation (CPR)carotid blood flow (CBF)classifierelectroencephalogram (EEG)machine learning (ML)real-time feedback

Identifiers

PMID34073915
PMCPMC8197348

What OpenQuestion holds

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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.