Evidence map›Paper›PMID 24138952›Full record

ArticlePediatric neurology2013

Automatically quantified diffuse excessive high signal intensity on MRI predicts cognitive development in preterm infants.

Nehal A Parikh, Lili He, Eliana Bonfante-Mejia, Leo Hochhauser, Patricia Evans Wilder, Katrina Burson, Supreet Kaur

Open access · greenAbstract read
In one paragraph

Article in Pediatric neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Nehal A ParikhCenter for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio; The Department of Pediatrics, Ohio State University College of Medicine, Columbus, Ohio; Department of Pediatrics, Division of Neonatology, University of Texas Health Science Center, Houston, Texas. Electronic address: Nehal.Parikh@nationwidechildrens.org.
Lili He
Eliana Bonfante-Mejia
Leo Hochhauser
Patricia Evans Wilder
Katrina Burson
Supreet Kaur
The University of Texas Health Science Center at Houston · USNationwide Children's Hospital · US

Funding

U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
NCRR NIH HHS UL1 RR024148NCRR NIH HHS UL1 RR024148-04S3NINDS NIH HHS L40 NS049975
6 · The paper itself

Abstract

backgroundCognitive and language impairments constitute the majority of disabilities observed in preterm infants. It remains unclear if diffuse excessive high signal intensity on magnetic resonance imaging at term represents delayed white matter maturation or pathology.

methodsWe hypothesized that diffusion tensor imaging-based objectively quantified diffuse excessive high signal intensity measures at term will be strong predictors of cognitive and language development at 2 years in a cohort of 41 extremely low birth weight (≤1000 g) infants. Using an automated probabilistic atlas, mean diffusivity maps were used to objectively segment and quantify diffuse excessive high signal intensity volume and mean, axial, and radial diffusivity measures. Standardized neurodevelopment was assessed at 2 years of age using the Bayley Scales of Infant Development, third edition.

resultsThirty-six of the 41 infants (88%) had complete developmental data at follow-up. Objectively quantified diffuse excessive high signal intensity volume correlated significantly with cognitive and language scores at 2 years (P < 0.001 for both). The sum values of the three diffusivity measures in detected diffuse excessive high signal intensity regions also correlated significantly with the Bayley scores (r(2) 34.7%; P < 0.001 for each). Infants in the highest quartile for diffuse excessive high signal intensity volumes had scores between 19 and 24 points lower than infants in the lowest quartile (P < 0.01). When diagnosed subjectively by neuroradiologists however, Bayley scores were not significantly lower in infants with extensive diffuse excessive high signal intensity.

conclusionsThese findings lend further evidence that diffuse excessive high signal intensity is pathologic and that objectively quantified diffusion-based diffuse excessive high signal intensity volume at term is associated with cognitive and language impairments. Our approach could be used for risk stratification and early intervention for such high-risk extremely preterm infants.

Indexed as

Diffusion Tensor ImagingElectronic Data ProcessingInfant, Extremely PrematureBrainCognition DisordersCohort StudiesDevelopmental DisabilitiesFemaleHumansInfantInfant, NewbornMaleMaternal AgeRetrospective StudiesBayley examdiffuse excessive high signal intensitydiffusion tensor imagingextremely low birth weight infantmagnetic resonance imagingneurodevelopmentpretermprognosis

Identifiers

PMID24138952
PMCPMC3957176
OpenAlexW2009327294

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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.