Evidence map›Paper›PMID 38045240›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Exposure to heavy metals

John F Dou, Rebecca J Schmidt, Heather E Volk, Manon M Nitta, Jason I Feinberg, Craig J Newschaffer, Lisa A Croen, Irva Hertz-Picciotto, M Daniele Fallin, Kelly M Bakulski

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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
–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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

John F DouUniversity of Michigan, Ann Arbor, Michigan, USA.
Rebecca J SchmidtUniversity of California Davis, Davis, California, USA.
Heather E VolkJohns Hopkins University, Baltimore, Maryland, USA.
Manon M NittaUniversity of Michigan, Ann Arbor, Michigan, USA.
Jason I FeinbergJohns Hopkins University, Baltimore, Maryland, USA.
Craig J NewschafferPenn State University, State College, PA, USA.
Lisa A CroenDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Irva Hertz-PicciottoUniversity of California Davis, Davis, California, USA.
M Daniele FallinRollins School of Public Health, Emory University, Atlanta, GA, USA.
Kelly M BakulskiUniversity of Michigan, Ann Arbor, Michigan, USA.
University of Michigan · USJohns Hopkins University · USUniversity of California, Davis · USEmory University · USKaiser Permanente · USPennsylvania State University · US

Funding

Early Autism Risk Longitudinal Investigation (EARLI) NetworkR01ES016443 · NIEHS · DREXEL UNIVERSITY · PI NEWSCHAFFER, CRAIG J · 2008 to 2013
$15.6M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
Autism Risk, Prenatal Environmental Exposures, and Pathophysiologic MarkersR01ES020392 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HERTZ-PICCIOTTO, IRVA, OZONOFF, SALLY · 2011 to 2015
$9.0M
Environmental Influence on Infant Microbiome Development and ASD SymptomsR01ES028089 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HERTZ-PICCIOTTO, IRVA, MILLS, DAVID ANDREW · 2016 to 2020
$3.6M
Prenatal exposure to metals and risk for Autism Spectrum Disorder in MARBLES and EARLIR01ES025531 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2016 to 2020
$3.2M
Expanding the Value of the EARLI study: Small Cohort with Big DataR24ES030893 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2020 to 2024
$2.0M
BUILDS MARBLES: Biorepository Upkeep and Infrastructure for Longitudinal Data Sharing for MARBLESU24ES028533 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHAMBERS BUTCHER, BRITTANY D., SCHMIDT, REBECCA JEAN · 2023 to 2025
$1.2M
NIEHS NIH HHS P01 ES011269NIEHS NIH HHS R01 ES016443NIEHS NIH HHS R01 ES020392NIEHS NIH HHS R01 ES025531NIEHS NIH HHS R01 ES028089NIEHS NIH HHS R24 ES030893NIEHS NIH HHS U24 ES028533
6 · The paper itself

Abstract

Background: Autism spectrum disorder (ASD) is a prevalent and heterogeneous neurodevelopmental disorder. Risk is attributed to genetic and prenatal environmental factors, though the environmental agents are incompletely characterized. Methods: In Early Autism Risk Longitudinal Investigation (EARLI) and Markers of Autism Risk in Babies Learning Early Signs (MARBLES), two pregnancy cohorts of siblings of children with ASD, maternal urinary metals concentrations at two time points during pregnancy were measured using inductively coupled plasma mass spectrometry. At age three, clinicians assessed ASD with DSM-5 criteria. Using multivariable log binomial regression, we examined each metal for association with ASD status, adjusting for gestational age at urine sampling, child sex, maternal age, and maternal education, and meta-analyzed across the two cohorts. Results: In EARLI (n=170) 17.6% of children were diagnosed with ASD, and an additional 43.5% were classified as having other non-neurotypical development (Non-TD). In MARBLES (n=156), 22.7% were diagnosed with ASD, while an additional 11.5% had Non-TD. In earlier pregnancy metals measures, having cadmium concentration over the level of detection was associated with 1.78 (1.19, 2.67) times higher risk of ASD, and 1.43 (1.06, 1.92) times higher risk of Non-TD. A doubling of early pregnancy cesium concentration was marginally associated with 1.81 (0.95, 3.42) times higher risk of ASD, and 1.58 (0.95, 2.63) times higher risk of Non-TD. Conclusion: Exposure

Indexed as

autism spectrum disordercadmiumepidemiologyMetals exposurepregnancy cohort

Identifiers

PMID38045240
PMCPMC10690342
OpenAlexW4388893734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.