Evidence map›Paper›PMID 37264709›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2023

Uncertainty in Developmental Origins of Health and Disease research: commentary on Nomura et al. (2023).

Stephen E Gilman, Theemeshni Govender, Diana Augustin, Jing Yu

Open access · bronzeAbstract readComment
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2023. 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
1.7field-weighted citation impact, top 15% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Stephen E GilmanSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.ORCID 0000-0002-8331-6419
Theemeshni GovenderSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Diana AugustinSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Jing YuSocial and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.ORCID 0000-0002-1219-2391
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USJohns Hopkins University · US

Funding

Social determinants of child development and mental healthZIAHD008976 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI GILMAN, STEPHEN · 2018 to 2025
$14.3M
Intramural NIH HHS ZIA HD008976
6 · The paper itself

Abstract

Nomura et al. (Journal of Child Psychology and Psychiatry, 2023) reported that children whose mothers were pregnant when Superstorm Sandy struck the Eastern Seaboard of the United States had elevated risk of psychopathology. Their study leverages data from a unique cohort of children established prior to Sandy that enabled researchers to investigate children's mental health depending on their prenatal exposure to the storm. Their findings add to mounting evidence that various types of prenatal stressors instigate stress responses that are transmitted to the developing fetus and impart enduring risk for neuropsychiatric disorders.

Indexed as

Cyclonic StormsChildFemaleHumansMental HealthMothersPregnancyStress, PsychologicalUncertaintyUnited States

Identifiers

PMID37264709
PMCPMC10524833
OpenAlexW4379093477

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.