Evidence map›Paper›PMID 40280911›Full record

ArticleNature communications2025

Evaluation of fetal exposure to environmental noise using a computer-generated model.

Pierre Gélat, Elwin Van't Wout, Reza Haqshenas, Andrew Melbourne, Anna L David, Nada Mufti, Julian Henriques, Aude Thibaut de Maisières, Eric Jauniaux

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Pierre GélatDepartment of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK. p.gelat@ucl.ac.uk.ORCID http://orcid.org/0000-0002-4462-2421
Elwin Van't WoutInstitute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID http://orcid.org/0000-0002-9096-5054
Reza HaqshenasDepartment of Mechanical Engineering, University College London, London, UK.
Andrew MelbourneSchool of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK.
Anna L DavidElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.ORCID http://orcid.org/0000-0002-0199-6140
Nada MuftiElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.
Julian HenriquesDepartment of Media, Communications and Cultural Studies, Goldsmiths University of London, London, UK.
Aude Thibaut de MaisièresSonic Womb Productions Limited, London, UK.
Eric JauniauxElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.

Funding

Development and validation of MR imaging methods for in vivo assessment of placental perfusion and oxygen transportR01HD108833 · NICHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI Victoria HJ Roberts · 2023 to 2026
$1.9M
NICHD NIH HHS R01 HD108833RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/Y514214/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/P012434/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/P013309/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) NS/A000027/1RCUK | Medical Research Council (MRC) MR/X010007/1
6 · The paper itself

Abstract

Acoustic noise can have profound effects on wellbeing, impacting the health of pregnant women and their fetus. Mounting evidence suggests neural memory traces are formed by auditory learning in utero. A better understanding of the fetal auditory environment is therefore critical to avoid exposure to damaging noise levels. Using anatomical data from MRI scans of pregnant patients (

Indexed as

Computer SimulationEnvironmental ExposureFetusNoiseAdultFemaleHumansMagnetic Resonance ImagingPregnancy

Identifiers

PMID40280911
PMCPMC12032418

What OpenQuestion holds

Textmetadata
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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.