Evidence map›Paper›PMID 35078779›Full record

SynthesisArchives of disease in childhood. Fetal and neonatal edition2022

MRI-based brain volumes of preterm infants at term: a systematic review and meta-analysis.

Julia Romberg, Marko Wilke, Christoph Allgaier, Thomas Nägele, Corinna Engel, Christian F Poets, Axel Franz

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Archives of disease in childhood. Fetal and neonatal edition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.9field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 29 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 3 institutions in 3 countries.

Julia RombergDepartment of Pediatrics, University Hospital Tuebingen, Tuebingen, Germany julia.romberg@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0003-3994-0852
Marko WilkePediatric Neurology & Developmental Medicine, University Hospital Tuebingen, Tuebingen, Germany.
Christoph AllgaierDepartment of Pediatrics, Center for Pediatric Clinical Studies, University Hospital Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0001-5577-0801
Thomas NägeleDepartment of Neuroradiology, University Hospital Tuebingen, Tuebingen, Germany.
Corinna EngelDepartment of Pediatrics, Center for Pediatric Clinical Studies, University Hospital Tuebingen, Tuebingen, Germany.
Christian F PoetsDepartment of Neonatology, University Hospital Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0002-1072-0066
Axel FranzDepartment of Neonatology, University Hospital Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0001-5066-0857
Center for Clinical Studies · USInstitute of Developmental Physiology · RUUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMRI allows a detailed assessment of brain structures in preterm infants, outperforming cranial ultrasound. Neonatal MR-based brain volumes of preterm infants could serve as objective, quantitative and reproducible surrogate parameters of early brain development. To date, there are no reference values for preterm infants' brain volumes at term-equivalent age.

objectiveSystematic review of the literature to determine reference ranges for MRI-based brain volumes of very preterm infants at term-equivalent age.

methodsPubMed Database was searched on 6 April 2020 for studies reporting MR-based brain volumes on representative unselected populations of very preterm and/or very low birthweight infants examined at term equivalent age (defined as 37-42 weeks mean postmenstrual age at MRI). Analyses were limited to volumetric parameters reported in >3 studies. Weighted mean volumes and SD were both calculated and simulated for each parameter.

resultsAn initial 367 publications were identified. Following application of exclusion criteria, 13 studies from eight countries were included for analysis, yielding four parameters. Weighted mean total brain volume was 379 mL (SD 72 mL; based on n=756). Cerebellar volume was 21 mL (6 mL; n=791), cortical grey matter volume 140 mL (47 mL; n=572) and weighted mean volume of unmyelinated white matter was 195 mL (38 mL; n=499).

conclusionThis meta-analysis reports pooled data on several brain and cerebellar volumes which can serve as reference for future studies assessing MR-based volumetric parameters as a surrogate outcome for neurodevelopment and for the interpretation of individual or cohort MRI-based volumetric findings.

Indexed as

Infant, PrematureWhite MatterBrainGestational AgeHumansInfantInfant, NewbornMagnetic Resonance Imaginginfant developmentmagnetic resonance imagingneonatologyneurology

Identifiers

PMID35078779
PMCPMC9411894
OpenAlexW4206928018

What OpenQuestion holds

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LicenceCC BY-NC
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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.