Evidence map›Paper›PMID 35493827›Full record

SynthesisFrontiers in neurology2022

Non-Invasive Multimodal Neuromonitoring in Non-Critically Ill Hospitalized Adult Patients With COVID-19: A Systematic Review and Meta-Analysis.

Denise Battaglini, Lavienraj Premraj, Samuel Huth, Jonathon Fanning, Glenn Whitman, Rakesh C Arora, Judith Bellapart, Diego Bastos Porto, Fabio Silvio Taccone, Jacky Y Suen and 6 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Editorial: Personalized therapy in ARDS.Frontiers in medicine · 2023
    Article
  6. The value of EEG attenuation in the prediction of outcome in COVID-19 patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    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

16 authors at 12 institutions in 7 countries.

Denise BattagliniAnesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy.
Lavienraj PremrajGriffith University School of Medicine, Gold Coast, QLD, Australia.
Samuel HuthCritical Care Research Group (CCRG), Herston, QLD, Australia.
Jonathon FanningCritical Care Research Group (CCRG), Herston, QLD, Australia.
Glenn WhitmanSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Rakesh C AroraDepartment of Surgery, Section of Cardiac Surgery, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.
Judith BellapartCritical Care Research Group (CCRG), Herston, QLD, Australia.
Diego Bastos PortoDepartment of Critical Care, Sao Camilo Cura D'ars Hospital, Fortaleza, Brazil.
Fabio Silvio TacconeIntensive Care Unit, Erasmus Hospital, Free University of Brussels, Brussels, Belgium.
Jacky Y SuenCritical Care Research Group (CCRG), Herston, QLD, Australia.
Gianluigi Li BassiCritical Care Research Group (CCRG), Herston, QLD, Australia.
John F FraserCritical Care Research Group (CCRG), Herston, QLD, Australia.
Rafael BadenesDepartment of Anesthesia and Intensive Care, Hospital Clinic Universitari, INCLIVA Research Health Institute, University of Valencia, Valencia, Spain.
Sung-Min ChoGriffith University School of Medicine, Gold Coast, QLD, Australia.
Chiara RobbaAnesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy.
COVID-19 Critical Care Consortium
University of Queensland · AUGriffith University · AUConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESErasmus Hospital · BEJohns Hopkins University · USOspedale Policlinico San Martino · ITRoyal Brisbane and Women's Hospital · AUSão Camilo Hospital · BRSt Andrew’s Hospital · AUUniversitat de Barcelona · ESUniversitat de València · ESUniversity of Manitoba · CA

Funding

CLots and Oxygen in Va-ExtracorpoReal membrane oxygenation (CLOVER) studyK23HL157610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Sung-Min Cho · 2022 to 2026
$797k
NHLBI NIH HHS K23 HL157610
6 · The paper itself

Abstract

Introduction: Neurological complications are frequent in patients with coronavirus disease-2019 (COVID-19). The use of non-invasive neuromonitoring in subjects without primary brain injury but with potential neurological derangement is gaining attention outside the intensive care unit (ICU). This systematic review and meta-analysis investigates the use of non-invasive multimodal neuromonitoring of the brain in non-critically ill patients with COVID-19 outside the ICU and quantifies the prevalence of abnormal neuromonitoring findings in this population. Methods: A structured literature search was performed in MEDLINE/PubMed, Scopus, Cochrane, and EMBASE to investigate the use of non-invasive neuromonitoring tools, including transcranial doppler (TCD); optic nerve sheath diameter (ONSD); near-infrared spectroscopy (NIRS); pupillometry; and electroencephalography (EEG) inpatients with COVID-19 outside the ICU. The proportion of non-ICU patients with CVOID-19 and a particular neurological feature at neuromonitoring at the study time was defined as prevalence. Results: A total of 6,593 records were identified through literature searching. Twenty-one studies were finally selected, comprising 368 non-ICU patients, of whom 97 were considered for the prevalence of meta-analysis. The pooled prevalence of electroencephalographic seizures, periodic and rhythmic patterns, slow background abnormalities, and abnormal background on EEG was.17 (95% CI 0.04-0.29), 0.42 (95% CI 0.01-0.82), 0.92 (95% CI 0.83-1.01), and.95 (95% CI 0.088-1.09), respectively. No studies investigating NIRS and ONSD outside the ICU were found. The pooled prevalence for abnormal neuromonitoring findings detected using the TCD and pupillometry were incomputable due to insufficient data. Conclusions: Neuromonitoring tools are non-invasive, less expensive, safe, and bedside available tools with a great potential for both diagnosis and monitoring of patients with COVID-19 at risk of brain derangements. However, extensive literature searching reveals that they are rarely used outside critical care settings.

Indexed as

coronavirus diseaseCOVID-19electroencephalogramhospitalneuromonitoring

Identifiers

PMID35493827
PMCPMC9047047
OpenAlexW4223993149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.