Evidence map›Paper›PMID 33850796›Full record

ReviewJournal of translational internal medicine2021

The Use of Electroencephalography in Patients with Sepsis: a Review of The Literature.

Nikolaos-Dimitrios Pantzaris, Christina Platanaki, Konstantinos Tsiotsios, Ioanna Koniari, Dimitrios Velissaris

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of translational internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  13. IP3R2-mediated CaCell death discovery · 2024
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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

5 authors at 1 institution in 1 country.

Nikolaos-Dimitrios PantzarisDepartment of Internal Medicine, University of Patras, Achaia, Greece.
Christina PlatanakiDepartment of Internal Medicine, University of Patras, Achaia, Greece.
Konstantinos TsiotsiosDepartment of Internal Medicine, University of Patras, Achaia, Greece.
Ioanna KoniariDepartment of Internal Medicine, University of Patras, Achaia, Greece.
Dimitrios VelissarisDepartment of Internal Medicine, University of Patras, Achaia, Greece.
University of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-associated encephalopathy (SAE) is the term used to define brain dysfunction related to infections that are principally located outside the central nervous system (CNS). A number of published studies report that electroencephalography (EEG) has been used in the evaluation of patients with sepsis, alone or usually in combination, to evoked potentials and neuroimaging. This was in an effort to assess if EEG can be a tool in the diagnosis and monitoring of the neurological status in sepsis patients. Although there is no specific test for the diagnosis and prognosis of sepsis related encephalopathy, our literature review suggests that EEG has a role in the assessment of this clinical entity. Due to its low cost and simplicity in its performance, EEG could be a potential aid in the assessment of sepsis neurological complications even in the early, subclinical stages of the syndrome. The aim of this review is to summarize the published literature regarding the application and utility of electroencephalography in adult patients with sepsis.

Indexed as

electroencephalography (EEG)sepsissepsis associated encephalopathy (SAE)

Identifiers

PMID33850796
PMCPMC8016354
OpenAlexW3119977689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.