Evidence map›Paper›PMID 32488677›Full record

ArticleJournal of clinical monitoring and computing2021

Evaluation of a new wireless technique for continuous electroencephalography monitoring in neurological intensive care patients.

Marco Meyer, Sven Fuest, Dominique Krain, Martin Juenemann, Tobias Braun, Serge C Thal, Patrick Schramm

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical monitoring and computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Observational
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 4 institutions in 1 country.

Marco Meyer *Department of Geriatrics, Jung-Stilling Hospital Siegen, Wichernstrasse 40, 57074, Siegen, Germany. marco.meyer@diakonie-sw.de.ORCID 0000-0003-4947-252X
Sven Fuest *Department of Neurology, Universitaetsklinikum Giessen & Marburg Standort Marburg, Baldingerstrasse, 35033, Marburg, Germany.
Dominique KrainDepartment of Neurology, Universitaetsklinikum Giessen & Marburg Standort Giessen, Klinikstrasse 33, 35385, Giessen, Germany.
Martin JuenemannDepartment of Neurology, Universitaetsklinikum Giessen & Marburg Standort Giessen, Klinikstrasse 33, 35385, Giessen, Germany.
Tobias BraunDepartment of Neurology, Universitaetsklinikum Giessen & Marburg Standort Giessen, Klinikstrasse 33, 35385, Giessen, Germany.
Serge C ThalDepartment of Anesthesiology, Helios Universitaetsklinikum Wuppertal University Witten/Herdecke, Heusnerstraße 40, 42283, Wuppertal, Germany.
Patrick SchrammDepartment of Anesthesiology, Johannes Gutenberg Universitaet, Universitaetsmedizin Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Universitätsklinikum Gießen und Marburg · DEDiakonie Klinikum Jung-Stilling · DEHelios Universitätsklinikum Wuppertal · DEJohannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel wireless eight-channel electroencephalography (EEG) headset specially developed for ICUs was tested in regard of comparability with standard 10/20 EEG systems. The continuous EEG (cEEG) derivations via CerebAir EEG headset (Nihon Kohden Europe, Rosbach, Germany) and internationally standardized 10/20 reference EEGs as the diagnostic standard were performed in a mixed collective on a neurointensive care unit (neuro-ICU). The derivations were verified for comparability in detection of EEG background activity, epileptiform discharges, and seizure patterns. Fifty-two patients with vigilance reduction following serious neurological or metabolic diseases were included, and both methods were applied and further analyzed in 47. EEG background activity matched in 24 of 45 patients (53%; p = 0.126), epileptiform discharges matched in 32 (68%) patients (p = 0.162), and seizure activity matched in 98%. Overall, in 89% of the patients, cEEG detected the same or additional ICU-relevant EEG patterns. The tested wireless cEEG headset is a useful monitoring tool in patients with consciousness disorders. The present study indicates that long-term measurements with the wireless eight-channel cEEG lead to a higher seizure and epileptiform discharge detection compared to intermittent 10/20 EEG derivations in the ICU setting.

Indexed as

Critical CareElectroencephalographyHumansIntensive Care UnitsMonitoring, PhysiologicSeizuresBedside monitoringElectroencephalographyIntensive careWireless EEG headset

Identifiers

PMID32488677
OpenAlexW3030939875

What OpenQuestion holds

Textmetadata
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.