Evidence map›Paper›PMID 35143287›Full record

ArticleCirculation2022

Fetal Brain Volume Predicts Neurodevelopment in Congenital Heart Disease.

Anjali Sadhwani, David Wypij, Valerie Rofeberg, Ali Gholipour, Maggie Mittleman, Julia Rohde, Clemente Velasco-Annis, Johanna Calderon, Kevin G Friedman, Wayne Tworetzky and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 4 pooled it
20.1field-weighted citation impact, top 1% 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

94 citing papers in PubMed, 4 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Brain volumes in fetuses with congenital heart disease and placental vascular abnormalities.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026
    Review
  19. Article
  20. Article

34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Anjali SadhwaniDepartment of Psychiatry and Behavioral Sciences (A.S., J.C.), Boston Children's Hospital, MA.ORCID 0000-0003-0938-0591
David WypijDepartment of Cardiology (D.W., V.R., K.G.F., W.T., J.W.N.), Boston Children's Hospital, MA.
Valerie RofebergDepartment of Cardiology (D.W., V.R., K.G.F., W.T., J.W.N.), Boston Children's Hospital, MA.
Ali GholipourDepartment of Radiology (A.G., C.V.-A., P.E.G., S.K.W.), Boston Children's Hospital, MA.ORCID 0000-0001-7699-4564
Maggie MittlemanDepartment of Neurology (M.M., J.R., J.S.S., C.K.R.), Boston Children's Hospital, MA.
Julia RohdeDepartment of Neurology (M.M., J.R., J.S.S., C.K.R.), Boston Children's Hospital, MA.
Clemente Velasco-AnnisDepartment of Radiology (A.G., C.V.-A., P.E.G., S.K.W.), Boston Children's Hospital, MA.
Johanna CalderonDepartment of Psychiatry and Behavioral Sciences (A.S., J.C.), Boston Children's Hospital, MA.ORCID 0000-0002-2644-6858
Kevin G FriedmanDepartment of Cardiology (D.W., V.R., K.G.F., W.T., J.W.N.), Boston Children's Hospital, MA.
Wayne TworetzkyDepartment of Cardiology (D.W., V.R., K.G.F., W.T., J.W.N.), Boston Children's Hospital, MA.
P Ellen GrantDepartment of Radiology (A.G., C.V.-A., P.E.G., S.K.W.), Boston Children's Hospital, MA.ORCID 0000-0003-1005-4013
Janet S SoulDepartment of Neurology (M.M., J.R., J.S.S., C.K.R.), Boston Children's Hospital, MA.ORCID 0000-0001-6998-7753
Simon K WarfieldDepartment of Radiology (A.G., C.V.-A., P.E.G., S.K.W.), Boston Children's Hospital, MA.ORCID 0000-0002-7659-3880
Jane W NewburgerDepartment of Cardiology (D.W., V.R., K.G.F., W.T., J.W.N.), Boston Children's Hospital, MA.ORCID 0000-0002-7794-9017
Cynthia M Ortinau *Department of Pediatrics, Washington University in St Louis, MO (C.M.O.).
Caitlin K Rollins *Department of Neurology (M.M., J.R., J.S.S., C.K.R.), Boston Children's Hospital, MA.ORCID 0000-0002-0500-0056
Boston Children's Hospital · USWashington University in St. Louis · US

Funding

Next-generation in-vivo fetal neuroimagingR01EB031849 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GHOLIPOUR-BABOLI, ALI · 2021 to 2024
$2.2M
Advancing Microstructural and Vascular Neuroimaging in Perinatal StrokeR01NS106030 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2019 to 2023
$1.7M
Motion-robust super-resolution diffusion weighted MRI of early brain developmentR01EB018988 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI GHOLIPOUR-BABOLI, ALI · 2014 to 2017
$1.6M
Improved Quantitative Assessment of the Fetal Brain from 3D Volumetric MRIR01EB013248 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2012 to 2015
$1.5M
Fetal Brain Development in Congenital Heart DiseaseK23NS101120 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI ROLLINS, CAITLIN · 2017 to 2022
$1.1M
Physiologic and Genetic Contributions of Impaired Fetal Brain Development in Congenital Heart DiseaseK23HL141602 · NHLBI · WASHINGTON UNIVERSITY · PI ORTINAU, CYNTHIA MARIE · 2019 to 2022
$727k
NHLBI NIH HHS K23 HL141602NIBIB NIH HHS R01 EB013248NIBIB NIH HHS R01 EB018988NIBIB NIH HHS R01 EB031849NINDS NIH HHS K23 NS101120NINDS NIH HHS R01 NS106030
6 · The paper itself

Abstract

backgroundNeurodevelopmental impairment is common in children with congenital heart disease (CHD), but postnatal variables explain only 30% of the variance in outcomes. To explore whether the antecedents for neurodevelopmental disabilities might begin in utero, we analyzed whether fetal brain volume predicted subsequent neurodevelopmental outcome in children with CHD.

methodsFetuses with isolated CHD and sociodemographically comparable healthy control fetuses underwent fetal brain magnetic resonance imaging and 2-year neurodevelopmental evaluation with the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) and the Adaptive Behavior Assessment System, Third Edition (ABAS-3). Hierarchical regression evaluated potential predictors of Bayley-III and ABAS-3 outcomes in the CHD group, including fetal total brain volume adjusted for gestational age and sex, sociodemographic characteristics, birth measures, and medical history.

resultsThe CHD group (n=52) had lower Bayley-III cognitive, language, and motor scores than the control group (n=26), but fetal brain volumes were similar. Within the CHD group, larger fetal total brain volume correlated with higher Bayley-III cognitive, language, and motor scores and ABAS-3 adaptive functioning scores (

conclusionsSmall fetal brain volume is a strong independent predictor of 2-year neurodevelopmental outcomes and may be an important imaging biomarker of future neurodevelopmental risk in CHD. Future studies are needed to support this hypothesis. Our findings support inclusion of fetal brain volume in risk stratification models and as a possible outcome in fetal neuroprotective intervention studies.

Indexed as

Heart Defects, CongenitalBrainChild DevelopmentFemaleFetusGestational AgeHumansInfantMagnetic Resonance ImagingPregnancybrainheart defects, congenitalmagnetic resonance imaging

Identifiers

PMID35143287
PMCPMC9007882
OpenAlexW4211136798

What OpenQuestion holds

Textmetadata
LicenceTDM
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.