Evidence map›Paper›PMID 39102267›Full record

Observational studyJAMA network open2024

MRI and Clinical Variables for Prediction of Outcomes After Pediatric Severe Traumatic Brain Injury.

Peter A Ferrazzano, Susan Rebsamen, Aaron S Field, Aimee T Broman, Anoop Mayampurath, Bedda Rosario, Sandra Buttram, F Anthony Willyerd, Paul J Rathouz, Michael J Bell and 2 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Peter A FerrazzanoDepartment of Pediatrics, University of Wisconsin-Madison.
Susan RebsamenDepartment of Radiology, University of Wisconsin-Madison.
Aaron S FieldDepartment of Radiology, University of Wisconsin-Madison.
Aimee T BromanDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison.
Anoop MayampurathDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison.
Bedda RosarioDepartment of Epidemiology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Sandra ButtramDepartment of Child Health, Phoenix Children's Hospital, Phoenix, Arizona.
F Anthony WillyerdDepartment of Child Health, Phoenix Children's Hospital, Phoenix, Arizona.
Paul J RathouzDepartment of Population Health, Dell Medical School, The University of Texas at Austin, Austin.
Michael J BellDepartment of Pediatrics, Children's National Medical Center, Washington, DC.
Andrew L AlexanderWaisman Center, University of Wisconsin-Madison.
ADAPT MRI Investigators

Funding

Multiple Medical Therapies for Pediatric TBI; Comparative Effectiveness ApproachU01NS081041 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BELL, MICHAEL J, WISNIEWSKI, STEPHEN R · 2013 to 2017
$15.9M
Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MESSING, ALBEE · 2016 to 2020
$6.0M
MRI markers of functional outcome after severe pediatric TBIR01NS092870 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI ALEXANDER, ANDREW L, FERRAZZANO, PETER A · 2016 to 2019
$2.2M
NICHD NIH HHS U54 HD090256NINDS NIH HHS R01 NS092870NINDS NIH HHS U01 NS081041
6 · The paper itself

Abstract

Importance: Traumatic brain injury (TBI) is a leading cause of death and disability in children, and predicting functional outcome after TBI is challenging. Magnetic resonance imaging (MRI) is frequently conducted after severe TBI; however, the predictive value of MRI remains uncertain. Objectives: To identify early MRI measures that predict long-term outcome after severe TBI in children and to assess the added predictive value of MRI measures over well-validated clinical predictors. Design, Setting, and Participants: This preplanned prognostic study used data from the Approaches and Decisions in Acute Pediatric TBI (ADAPT) prospective observational comparative effectiveness study. The ADAPT study enrolled 1000 consecutive children (aged <18 years) with severe TBI between February 1, 2014, and September 30, 2017. Participants had a Glasgow Coma Scale (GCS) score of 8 or less and received intracranial pressure monitoring. Magnetic resonance imaging scans performed as part of standard clinical care within 30 days of injury were collected at 24 participating sites in the US, UK, and Australia. Summary imaging measures were correlated with the Glasgow Outcome Scale-Extended for Pediatrics (GOSE-Peds), and the predictive value of MRI measures was compared with the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) core clinical predictors. Data collection, image analysis, and data analyses were completed in July 2023. Exposures: Pediatric severe TBI with an MRI scan performed as part of clinical care. Main Outcomes and Measures: All measures were selected a priori. Magnetic resonance imaging measures included contusion, ischemia, diffuse axonal injury, intracerebral hemorrhage, and brainstem injury. Clinical predictors included the IMPACT core measures (GCS motor score and pupil reactivity). All models adjusted for age and sex. Outcome measures included the GOSE-Peds score obtained at 3, 6, and 12 months after injury. Results: This study included 233 children with severe TBI who were enrolled at participating sites and had an MRI scan and preselected clinical predictors available. Their median age was 6.9 (IQR, 3.0-13.3) years, and more than half of participants (134 [57.5%]) were male. In a multivariable model including MRI measures and IMPACT core clinical variables, contusion volume (odds ratio [OR], 1.13; 95% CI, 1.02-1.26), brain ischemia (OR, 2.11; 95% CI, 1.58-2.81), brainstem lesions (OR, 5.40; 95% CI, 1.90-15.35), and pupil reactivity were each independently associated with GOSE-Peds score. Adding MRI measures to the IMPACT clinical predictors significantly improved model fit and discrimination between favorable and unfavorable outcomes compared with IMPACT predictors alone (area under the receiver operating characteristic curve, 0.77; 95% CI, 0.72-0.85 vs 0.67; 95% CI, 0.61-0.76 for GOSE-Peds score >3 at 6 months after injury). Conclusions and Relevance: In this prognostic study of children with severe TBI, the addition of MRI measures significantly improved outcome prediction over well-established and validated clinical predictors. Magnetic resonance imaging should be considered in children with severe TBI to inform prognosis and may also promote stratification of patients in future clinical trials.

Indexed as

Brain Injuries, TraumaticMagnetic Resonance ImagingAdolescentAustraliaChildChild, PreschoolFemaleGlasgow Coma ScaleGlasgow Outcome ScaleHumansInfantMalePredictive Value of TestsPrognosisProspective StudiesUnited Kingdom

Identifiers

PMID39102267
PMCPMC11301548

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Registered trials

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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.