Evidence map›Paper›PMID 34575645›Full record

ArticleJournal of personalized medicine2021

Grey and White Matter Volume Changes after Preterm Birth: A Meta-Analytic Approach.

Benita Schmitz-Koep, Bernhard Haller, Pierrick Coupé, Aurore Menegaux, Christian Gaser, Claus Zimmer, Dieter Wolke, Peter Bartmann, Christian Sorg, Dennis M Hedderich

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Benita Schmitz-KoepDepartment of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-8874-5749
Bernhard HallerInstitute of Medical Informatics, Statistics and Epidemiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0002-9723-393X
Pierrick CoupéLaboratoire Bordelais de Recherche en Informatique (LaBRI) UMR 5800, CNRS, Bordeaux INP, University of Bordeaux, F-33400 Talence, France.
Aurore MenegauxDepartment of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Christian GaserDepartment of Psychiatry, University Hospital Jena, Am Klinikum 1, 07747 Jena, Germany.
Claus ZimmerDepartment of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Dieter WolkeDepartment of Psychology, University of Warwick, University Road, Coventry CV4 7AL, UK.ORCID 0000-0003-0304-268X
Peter BartmannDepartment of Neonatology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Christian SorgDepartment of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.
Dennis M HedderichDepartment of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany.ORCID 0000-0001-8994-5593

Funding

Bundesministerium für Bildung und Forschung BMBF 01ER0801Bundesministerium für Bildung und Forschung BMBF 01ER0803Deutsche Forschungsgemeinschaft SO 1336/1-1Horizon 2020 733280Kommission für Klinische Forschung, Technische Universität München KKF 8700000474Kommission für Klinische Forschung, Technische Universität München KKF 8700000620Kommission für Klinische Forschung, Technische Universität München KKF 8765162
6 · The paper itself

Abstract

Cross-sectional studies have reported lower brain grey matter volumes (GMV) and white matter volumes (WMV) in preterm (PT) born individuals. While large MRI studies in the normative population have led to a better understanding of brain growth trajectories across the lifespan, such results remain elusive for PT born individuals since large, aggregated datasets of PT born individuals do not exist. To close this gap, we investigated GMV and WMV in PT born individuals as reported in the literature and contrasted it against individual volumetric data and trajectories from the general population. Systematic database search of PubMed and Web of Science in March 2021, and extraction of outcome measures were conducted by two independent reviewers. Individual data on full-term (FT) controls was extracted from freely available databases. Mean GMV, WMV, total intracranial volume (TIV), and mean age at scan were the main outcome measures. Of 532 identified records, nine studies were included with 538 PT born subjects between 1.1 and 28.5 years of age. Reference data was generated from 880 FT controls between 1 and 30 years of age. GMV was consistently lower in PT born individuals from infancy to early adulthood with no evidence for catch-up growth. While GMV changes followed a similar trajectory as FT controls, WMV was particularly low in adolescence after PT birth. Results demonstrate altered brain volumes after PT birth across the first half of lifespan. Future studies should address this issue in large aggregated datasets of PT born individuals.

Indexed as

brain developmentgrey matter volumepreterm birthstructural magnetic resonance imagingwhite matter volume

Identifiers

PMID34575645
PMCPMC8468941

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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.