Evidence map›Paper›PMID 32381279›Full record

ReviewPediatric neurology2020

Neurological Prognostication in Children After Cardiac Arrest.

Alyssa E Smith, Stuart H Friess

Abstract readReview
In one paragraph

Review in Pediatric neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Observational
  11. Article
  12. Elective Initial Blood Testing for the Neurological Outcomes of Pediatric Out-of-Hospital Cardiac Arrests.Pediatrics international : official journal of the Japan Pediatric Society
    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

2 authors.

Alyssa E SmithDivision of Pediatric Neurology, Department of Neurology, Washington University in St. Louis, St. Louis, Missouri. Electronic address: smithalyssa@wustl.edu.
Stuart H FriessDivision of Critical Care Medicine, Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri.

Funding

DELAYED HYPOXEMIA FOLLOWING TRAUMATIC BRAIN INJURY: A NEW TARGET FOR NEUROPROTECTIVE THERAPEUTICSR01NS097721 · NINDS · WASHINGTON UNIVERSITY · PI FRIESS, STUART H · 2017 to 2021
$1.7M
NINDS NIH HHS R01 NS097721
6 · The paper itself

Abstract

Early after pediatric cardiac arrest, families and care providers struggle with the uncertainty of long-term neurological prognosis. Cardiac arrest characteristics such as location, intra-arrest factors, and postarrest events have been associated with outcome. We paid particular attention to postarrest modalities that have been shown to predict neurological outcome. These modalities include neurological examination, somatosensory evoked potentials, electroencephalography, and neuroimaging. There is no one modality that accurately predicts neurological prognosis. Thus, a multimodal approach should be undertaken by both neurologists and intensivists to present a clear and consistent message to families. Methods used for the prediction of long-term neurological prognosis need to be specific enough to identify indivuals with a poor outcome. We review the evidence evaluating children with coma, each with various etiologies of cardiac arrest, outcome measures, and timing of follow-up.

Indexed as

ElectroencephalographyEvoked Potentials, SomatosensoryNeuroimagingNeurologic ExaminationOutcome Assessment, Health CareChildComaHeart ArrestHumansNervous System DiseasesPrognosisEEGMRIOutcomePediatric cardiac arrestPrognosticationSEP

Identifiers

PMID32381279
PMCPMC7354677

What OpenQuestion holds

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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.