Evidence map›Paper›PMID 35835025›Full record

ArticlePediatric neurology2022

Use of Magnetic Resonance Imaging in Neuroprognostication After Pediatric Cardiac Arrest: Survey of Current Practices.

Juan A Piantino, Christopher M Ruzas, Craig A Press, Subramanian Subramanian, Binod Balakrishnan, Ashok Panigrahy, David Pettersson, John A Maloney, Arastoo Vossough, Alexis Topjian and 8 more

Open access · greenAbstract read
In one paragraph

Article in Pediatric neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Spinal cord ischemia following pediatric cardiac arrest: An unexplored complication of hypoxic ischemic injury.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2026
    Article
  3. Article
  4. Early Blood Biomarkers and MRI Injury After Cardiac Arrest: Secondary Analysis of the 2017-2020 Personalized Outcomes After Child Cardiac Arrest Study.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
    Observational
  5. Article
  6. Article
  7. 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

18 authors at 8 institutions in 1 country.

Juan A PiantinoDivision of Child Neurology, Department of Pediatrics, Doernbecher Children's Hospital, Oregon Health and Science University, Portland, Oregon.
Christopher M RuzasDivision of Pediatric Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine, Children's Hospital Colorado, Aurora, Colorado.
Craig A PressDivision of Neurology, Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Subramanian SubramanianDepartment of Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Binod BalakrishnanDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Children's Wisconsin, Medical College of Wisconsin, Milwaukee, Wisconsin.
Ashok PanigrahyDepartment of Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
David PetterssonDivision of Neuroradiology, Department of Diagnostic Radiology, Doernbecher Children's Hospital, Oregon Health & Science University, Portland, Oregon.
John A MaloneyDepartment of Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado.
Arastoo VossoughDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Alexis TopjianDepartment of Anesthesiology and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Matthew P KirschenDepartment of Anesthesiology and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Lesley DoughtyDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Melissa G ChungDivisions of Critical Care Medicine and Pediatric Neurology, Department of Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus, Ohio.
David MaloneyDepartment of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Tamara HallerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Anthony FabioDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Ericka L FinkDepartment of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: finkel@ccm.upmc.edu.
POCCA Investigators
Children's Hospital of Pittsburgh · USChildren's Hospital of Philadelphia · USCincinnati Children's Hospital Medical Center · USUniversity of Pittsburgh · USChildren's Hospital Colorado · USChildren's Hospital of Wisconsin · USNationwide Children's Hospital · USOregon Health & Science University · US

Funding

Development of Serum, Imaging, and Clinical Biomarker Driven Models to Direct Clinical Management after Pediatric Cardiac ArrestR01NS096714 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FINK, ERICKA LINN · 2016 to 2020
$2.6M
A link between sleep-wake disturbances and enlarged perivascular spaces in youth with traumatic brain injuryK23HL150217 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI PIANTINO, JUAN ANDRES · 2020 to 2024
$826k
NHLBI NIH HHS K23 HL150217NINDS NIH HHS R01 NS096714
6 · The paper itself

Abstract

backgroundUse of magnetic resonance imaging (MRI) as a tool to aid in neuroprognostication after cardiac arrest (CA) has been described, yet details of specific indications, timing, and sequences are unknown. We aim to define the current practices in use of brain MRI in prognostication after pediatric CA.

methodsA survey was distributed to pediatric institutions participating in three international studies. Survey questions related to center demographics, clinical practice patterns of MRI after CA, neuroimaging resources, and details regarding MRI decision support.

resultsResponse rate was 31% (44 of 143). Thirty-four percent (15 of 44) of centers have a clinical pathway informing the use of MRI after CA. Fifty percent (22 of 44) of respondents reported that an MRI is obtained in nearly all patients with CA, and 32% (14 of 44) obtain an MRI in those who do not return to baseline neurological status. Poor neurological examination was reported as the most common factor (91% [40 of 44]) determining the timing of the MRI. Conventional sequences (T1, T2, fluid-attenuated inversion recovery, and diffusion-weighted imaging/apparent diffusion coefficient) are routinely used at greater than 97% of centers. Use of advanced imaging techniques (magnetic resonance spectroscopy, diffusion tensor imaging, and functional MRI) were reported by less than half of centers.

conclusionsConventional brain MRI is a common practice for prognostication after CA. Advanced imaging techniques are used infrequently. The lack of standardized clinical pathways and variability in reported practices support a need for higher-quality evidence regarding the indications, timing, and acquisition protocols of clinical MRI studies.

Indexed as

Diffusion Tensor ImagingHeart ArrestBrainChildDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingSurveys and QuestionnairesBrainCardiac arrestChildHypoxia-ischemiaMRINeuroimagingSurveys and questionnaires

Identifiers

PMID35835025
PMCPMC9883065
OpenAlexW4283220531

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.