Evidence map›Paper›PMID 32985533›Full record

ArticleScientific reports2020

Novel diffuse white matter abnormality biomarker at term-equivalent age enhances prediction of long-term motor development in very preterm children.

Nehal A Parikh, Karen Harpster, Lili He, Venkata Sita Priyanka Illapani, Fatima Chughtai Khalid, Mark A Klebanoff, T Michael O'Shea, Mekibib Altaye

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
3.6field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 18 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

8 authors at 3 institutions in 2 countries.

Nehal A ParikhPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, USA. Nehal.Parikh@cchmc.org.ORCID http://orcid.org/0000-0002-1375-1247
Karen HarpsterDivision of Occupational Therapy and Physical Therapy, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Lili HePerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, USA.
Venkata Sita Priyanka IllapaniPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, USA.
Fatima Chughtai KhalidPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, USA.
Mark A KlebanoffCenter for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
T Michael O'SheaDepartments of Pediatrics, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA.
Mekibib AltayeDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · USNationwide Children's Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

A New Model to Identify Preterm Neonates at High-Risk for Cognitive Impairments and School ReadinessR01NS094200 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI NEHAL A. PARIKH · 2016 to 2026
$6.7M
Early Prediction of Cerebral Palsy in Premature Infants using Advanced MRI BiomarkersR01NS096037 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI PARIKH, NEHAL A. · 2016 to 2020
$2.2M
Early Prediction of Cognitive Deficits in Very Preterm Infants using Machine Learning and Brain ConnectomeR21HD094085 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI HE, LILI · 2018 to 2019
$437k
NICHD NIH HHS R21 HD094085NIH HHS R01-NS094200NIH HHS R21-HD094085NINDS NIH HHS R01 NS094200NINDS NIH HHS R01 NS096037
6 · The paper itself

Abstract

Our objective was to evaluate the independent prognostic value of a novel MRI biomarker-objectively diagnosed diffuse white matter abnormality volume (DWMA; diffuse excessive high signal intensity)-for prediction of motor outcomes in very preterm infants. We prospectively enrolled a geographically-based cohort of very preterm infants without severe brain injury and born before 32 weeks gestational age. Structural brain MRI was obtained at term-equivalent age and DWMA volume was objectively quantified using a published validated algorithm. These results were compared with visually classified DWMA. We used multivariable linear regression to assess the value of DWMA volume, independent of known predictors, to predict motor development as assessed using the Bayley Scales of Infant & Toddler Development, Third Edition at 3 years of age. The mean (SD) gestational age of the cohort was 28.3 (2.4) weeks. In multivariable analyses, controlling for gestational age, sex, and abnormality on structural MRI, DWMA volume was an independent prognostic biomarker of Bayley Motor scores ([Formula: see text]= -12.59 [95% CI -18.70, -6.48] R

Indexed as

BiomarkersBrainChild DevelopmentChild, PreschoolFemaleFollow-Up StudiesGestational AgeHumansInfantInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleMotor SkillsWhite MatterBiomarkers

Identifiers

PMID32985533
PMCPMC7523012
OpenAlexW3088569954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.