Evidence map›Paper›PMID 25626776›Full record

ArticleJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society2015

How much does it cost to identify a critically ill child experiencing electrographic seizures?

Nicholas S Abend, Alexis A Topjian, Sankey Williams

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Late-Onset Findings During Extended EEG Monitoring Are Rare in Critically Ill Children.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025
    Article
  7. Article
  8. Article
  9. Accurate prediction of neurologic changes in critically ill infants using pose AI.medRxiv : the preprint server for health sciences · 2024
    Article
  10. The Cost of After-Hour Electroencephalography.Neurology. Clinical practice · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Continuous electroencephalography in the intensive care unit: A critical review and position statement from an Australian and New Zealand perspective.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2023
    Article
  15. Observational
  16. Article
  17. Article
  18. Observational
  19. Observational
  20. Detecting Seizures and Epileptiform Abnormalities in Acute Brain Injury.Current neurology and neuroscience reports · 2020
    Review
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

3 authors at 3 institutions in 1 country.

Nicholas S AbendDepartments of *Neurology, †Pediatrics, and ‡Anesthesia and Critical Care Medicine, The Children's Hospital of Philadelphia and the Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.; §Department of Medicine, the Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.; and ‖Department of Health Care Management, Wharton School of the University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.
Alexis A Topjian
Sankey Williams
Children's Hospital of Philadelphia · USNeurology, Inc · USUniversity of Pennsylvania · US

Funding

Non-convulsive seizures in critically ill children:physiology and outcomeK23NS076550 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI ABEND, NICHOLAS SCOTT · 2011 to 2015
$877k
Prompt Diagnosis and Treatment of Subclinical Seizures After Cardiac ArrestK23NS075363 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI TOPJIAN, ALEXIS A. · 2012 to 2016
$874k
NINDS NIH HHS K23 NS075363NINDS NIH HHS K23 NS076550
6 · The paper itself

Abstract

objectivesElectrographic seizures in critically ill children may be identified by continuous EEG monitoring. We evaluated the cost effectiveness of 4 electrographic seizure identification strategies (no EEG monitoring and EEG monitoring for 1 hour, 24 hours, or 48 hours).

methodsWe created a decision tree to model the relationships among variables from a societal perspective. To provide input for the model, we estimated variable costs directly related to EEG monitoring from their component parts, and we reviewed the literature to estimate the probabilities of outcomes. We calculated incremental cost-effectiveness ratios to identify the trade-off between cost and effectiveness at different willingness-to-pay values.

resultsOur analysis found that the preferred strategy was EEG monitoring for 1 hour, 24 hours, and 48 hours if the decision maker was willing to pay <$1,666, $1,666-$22,648, and >$22,648 per critically ill child identified with electrographic seizures, respectively. The 48-hour strategy only identified 4% more children with electrographic seizures at substantially higher cost. Sensitivity analyses found that all 3 strategies were acceptable at lower willingness-to-pay values when children with higher electrographic seizure risk were monitored.

conclusionsThe results of this study support monitoring of critically ill children for 24 hours because the cost to identify a critically ill child with electrographic seizures is modest. Further study is needed to predict better which children may benefit from 48 hours of EEG monitoring because the costs are much higher.

Indexed as

Models, EconomicChildCost-Benefit AnalysisCritical IllnessElectroencephalographyHumansSeizures

Identifiers

PMID25626776
PMCPMC4452395
OpenAlexW2318777845

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.