Evidence map›Paper›PMID 39649159›Full record

ArticleResearch square2024

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

Pierre Gélat, Elwin van 't Wout, Reza Haqhenas, Andrew Melbourne, Anna L David, Nada Mufti, Julian Henriques, Aude Thibaut de Maisieres, Eric Jauniaux

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Pierre GélatDivision of Surgery and Interventional Science, Faculty of Medical Sciences, University College London.
Elwin van 't WoutInstitute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID 0000-0002-9096-5054
Reza HaqhenasDepartment of Mechanical Engineering, Faculty of Engineering Sciences, University College London.
Andrew MelbourneFaculty of Life Sciences & Medicine, School of Biomedical Engineering & Imaging Sciences, Department of Surgical & Interventional Engineering, King's College London.
Anna L DavidEGA Institute for Women's Health, Faculty of Population Health Sciences, University College London, London, UK.ORCID 0000-0002-0199-6140
Nada MuftiEGA Institute for Women's Health, Faculty of Population Health Sciences, University College London, London, UK.
Julian HenriquesDepartment of Media, Communications and Cultural Studies, Goldsmiths, University of London, London, UK.
Aude Thibaut de MaisieresSonic Womb Productions Limited, London, UK.
Eric JauniauxEGA Institute for Women's Health, Faculty of Population Health Sciences, 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 HD108833
6 · The paper itself

Abstract

Acoustic noise can have profound effects on wellbeing, impacting the health of the pregnant mother and the development of the 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 (

Indexed as

Computational AcousticsFetal auditory systemFetal earFetal sound exposureHearing damageIn-utero acousticsNoise pollutionPregnancyPrenatal sound exposure

Identifiers

PMID39649159
PMCPMC11623772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.