Evidence map›Paper›PMID 34739529›Full record

ArticlePloS one2021

Exploring the distribution of grey and white matter brain volumes in extremely preterm children, using magnetic resonance imaging at term age and at 10 years of age.

Hedvig Kvanta, Jenny Bolk, Marika Strindberg, Carmen Jiménez-Espinoza, Lina Broström, Nelly Padilla, Ulrika Ådén

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Machine Learning-Derived Active Sleep as an Early Predictor of White Matter Development in Preterm Infants.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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 2 countries.

Hedvig KvantaDepartment of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0003-3557-9000
Jenny BolkClinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
Marika StrindbergDepartment of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
Carmen Jiménez-EspinozaFaculty of Health Sciences, Department of Basic Medical Sciences, Physiology Section, University of La Laguna, Tenerife, Spain.ORCID 0000-0002-6254-2396
Lina BroströmDepartment of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
Nelly PadillaDepartment of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
Ulrika ÅdénDepartment of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SEUniversidad de La Laguna · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate differences in brain volumes between children born extremely preterm and term born controls at term age and at 10 years of age. STUDY

designChildren born extremely preterm (EPT), up to 26 weeks and 6 days gestational age, in Stockholm between January 1 2004 to March 31 2007 were included in this population-based cohort study. A total of 45 EPT infants were included at term age and 51 EPT children were included at 10 years of age. There were 27 EPT children included at both time points. Two different control groups were recruited; 15 control infants were included at term age and 38 control children at 10 years of age. The primary outcomes were the grey and white matter volumes. Linear regression, adjusted for intracranial volume and sex, was used.

resultsAt term age, the extremely preterm infants had significantly smaller grey matter volume compared to the control infants with an adjusted mean difference of 5.0 cm3 and a 95% confidence interval of -8.4 to -1.5 (p = 0.004). At 10 years of age the extremely preterm children had significantly smaller white matter volume compared to the control children with an adjusted mean difference of 6.0 cm3 and a 95% confidence interval of -10.9 to -1.0 (p = 0.010).

conclusionExtremely preterm birth was associated with reduced grey matter volume at term age and reduced white matter volume at 10 years of age compared to term born controls.

Indexed as

Gray MatterInfant, Extremely PrematureMagnetic Resonance ImagingWhite MatterBrainChildCohort StudiesFemaleGestational AgeHumansInfant, NewbornMaleOrgan Size

Identifiers

PMID34739529
PMCPMC8570467
OpenAlexW3211065139

What OpenQuestion holds

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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.