Evidence map›Paper›PMID 30660914›Full record

ArticleJournal of critical care2019

Prescription patterns for routine EEG ordering in patients with intracranial hemorrhage admitted to a neurointensive care unit.

Mehdi Ghasemi, Muhammad Umer Azeem, Susanne Muehlschlegel, Felicia Chu, Nils Henninger

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of critical care, 2019. 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
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Mehdi GhasemiDepartment of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA.
Muhammad Umer AzeemDepartment of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA.
Susanne MuehlschlegelDepartment of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Surgery, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Anesthesia and Critical Care, University of Massachusetts Medical School, Worcester, MA 01655, USA.
Felicia ChuDepartment of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA.
Nils HenningerDepartment of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA 01655, USA. Electronic address: nils.henninger@umassmed.edu.
University of Massachusetts Chan Medical School · US

Funding

Inhibiting axon degeneration in a mouse model of acute brain injury through deletion of Sarm1K08NS091499 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HENNINGER, NILS · 2016 to 2020
$919k
Improving Clinical Decisions for Critically Ill Traumatic Brain Injury PatientsK23HD080971 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MUEHLSCHLEGEL, SUSANNE · 2015 to 2019
$751k
NICHD NIH HHS K23 HD080971NINDS NIH HHS K08 NS091499
6 · The paper itself

Abstract

purposeTo examine clinical factors, including established electroencephalography (EEG) consensus recommendations, that may influence EEG-prescription in critically-ill intracerebral hemorrhage (ICH) patients in the neurointensive care unit.

methodsRetrospective analysis of 330 ICH patients admitted to a neurointensive care unit at an academic medical center between 01/2013-12/2015. We compared EEG prescription patterns with current EEG consensus recommendations, and employed univariate and multivariable logistic regression modeling to determine clinical variables associated with EEG ordering.

resultsSeventy-eight (41%) of 190 subjects underwent EEG in accordance with EEG-consensus guidelines, demonstrating an overall accuracy (probability that EEG prescription aligned with EEG consensus recommendations) of 64.6% (95%-CI59.1-69.7). Factors independently associated with EEG ordering included fulfillment of EEG consensus recommendations, lower admission Glasgow Coma Scale (GCS), and presence of clinical seizures. The unadjusted and adjusted C-statistics for fulfillment of consensus recommendations was 0.74 (95%-CI 0.69-0.80) and 0.85 (95%-CI 0.81-0.90), respectively. Among 83 subjects undergoing EEG (25.2%), EEG findings informed clinical decision-making in 50 patients (60%).

conclusionsEEG appeared underused in ICH, since <50% of patients who fulfilled guideline criteria underwent EEG. Prescription of EEG was related to factors beyond those included in consensus recommendations. Validation of our findings and their association with outcome is required.

Indexed as

Critical CareAgedAged, 80 and overElectroencephalographyFemaleGuidelines as TopicHospitalizationHumansIntracranial HemorrhagesMiddle AgedPractice Patterns, Physicians'Retrospective StudiesClinical decision-makingConsensus recommendationsElectroencephalography (EEG)Guideline adherenceIntracerebral hemorrhage (ICH)Seizure

Identifiers

PMID30660914
PMCPMC6586233
OpenAlexW2909352384

What OpenQuestion holds

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LicenceTDM
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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.