Evidence map›Paper›PMID 32618687›Full record

Observational studyCritical care medicine2020

Evaluating the Clinical Impact of Rapid Response Electroencephalography: The DECIDE Multicenter Prospective Observational Clinical Study.

Paul M Vespa, DaiWai M Olson, Sayona John, Kyle S Hobbs, Kapil Gururangan, Kun Nie, Masoom J Desai, Matthew Markert, Josef Parvizi, Thomas P Bleck and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
–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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Review
  19. Correlation between lateralized periodic discharges and arterial spin labeling perfusion imaging in patients with status epilepticus.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Paul M VespaDepartments of Neurology and Neurosurgery, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA.
DaiWai M OlsonDepartment of Neurology, University of Texas Southwestern Medical School, Dallas, TX.
Sayona JohnDepartment of Neurology, Rush University Medical Center, Chicago, IL.
Kyle S HobbsDepartment of Neurology, Wake Forest School of Medicine, Winston-Salem, NC.
Kapil GururanganDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
Kun NieClindata Insight Inc, Moraga, CA.
Masoom J DesaiDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL.
Matthew MarkertDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
Josef ParviziDepartment of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
Thomas P BleckDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL.
Lawrence J HirschDepartment of Neurology, Yale University School of Medicine, New Haven, CT.
M Brandon WestoverDepartment of Neurology, Harvard Medical School, Boston, MA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
NCATS NIH HHS UL1 TR001863NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS107291
6 · The paper itself

Abstract

objectivesTo measure the diagnostic accuracy, timeliness, and ease of use of Ceribell rapid response electroencephalography. We assessed physicians' diagnostic assessments and treatment plans before and after rapid response electroencephalography assessment. Primary outcomes were changes in physicians' diagnostic and therapeutic decision making and their confidence in these decisions based on the use of the rapid response electroencephalography system. Secondary outcomes were time to electroencephalography, setup time, ease of use, and quality of electroencephalography data.

designProspective multicenter nonrandomized observational study.

settingICUs in five academic hospitals in the United States. SUBJECTS: Patients with encephalopathy suspected of having nonconvulsive seizures and physicians evaluating these patients.

interventionsPhysician bedside assessment of sonified electroencephalography (30 s from each hemisphere) and visual electroencephalography (60 s) using rapid response electroencephalography. MEASUREMENTS AND MAIN

resultsPhysicians (29 fellows or residents, eight attending neurologists) evaluated 181 ICU patients; complete clinical and electroencephalography data were available in 164 patients (average 58.6 ± 18.7 yr old, 45% females). Relying on rapid response electroencephalography information at the bedside improved the sensitivity (95% CI) of physicians' seizure diagnosis from 77.8% (40.0%, 97.2%) to 100% (66.4%, 100%) and the specificity (95% CI) of their diagnosis from 63.9% (55.8%, 71.4%) to 89% (83.0%, 93.5%). Physicians' confidence in their own diagnosis and treatment plan were also improved. Time to electroencephalography (median [interquartile range]) was 5 minutes (4-10 min) with rapid response electroencephalography while the conventional electroencephalography was delayed by several hours (median [interquartile range] delay = 239 minutes [134-471 min] [p < 0.0001 using Wilcoxon signed rank test]). The device was rated as easy to use (mean ± SD: 4.7 ± 0.6 [1 = difficult, 5 = easy]) and was without serious adverse effects.

conclusionsRapid response electroencephalography enabled timely and more accurate assessment of patients in the critical care setting. The use of rapid response electroencephalography may be clinically beneficial in the assessment of patients with high suspicion for nonconvulsive seizures and status epilepticus.

Indexed as

NeurologistsAcademic Medical CentersAdultAgedClinical CompetenceClinical Decision-MakingCritical CareElectroencephalographyFemaleHumansIntensive Care UnitsMaleMiddle AgedPoint-of-Care SystemsProspective StudiesSeizures

Identifiers

PMID32618687
PMCPMC7735649

What OpenQuestion holds

Textmetadata
LicenceTDM
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.