Evidence map›Paper›PMID 30789431›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Prenatal Exposure to Endocrine-disrupting Chemicals in Relation to Autism Spectrum Disorder and Intellectual Disability.

Ghassan B Hamra, Kristen Lyall, Gayle C Windham, Antonia M Calafat, Andreas Sjödin, Heather Volk, Lisa A Croen

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Prenatal exposure to pesticide residues in the diet in association with child autism-related traits: Results from the EARLI study.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  14. Review
  15. Bayesian Weighted Sums: A Flexible Approach to Estimate Summed Mixture Effects.International journal of environmental research and public health · 2021
    Article
  16. Review
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Ghassan B HamraFrom the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Kristen LyallAJ Drexel Autism Institute, Drexel University, Philadelphia, PA.
Gayle C WindhamDivision of Environmental and Occupational Disease Control, California Department of Public Health, Richmond, CA.
Antonia M CalafatNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA.
Andreas SjödinNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA.
Heather VolkDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Lisa A CroenDivision of Research, Kaiser Permanente, Oakland, CA.
Centers for Disease Control and Prevention · USJohns Hopkins University · USCalifornia Department of Public Health · USDrexel University · USKaiser Permanente · US

Funding

Prenatal and Neonatal Biologic Markers for AutismR01ES016669 · NIEHS · KAISER FOUNDATION RESEARCH INSTITUTE · PI CROEN, LISA A · 2010 to 2014
$3.5M
NIEHS NIH HHS R01 ES016669
6 · The paper itself

Abstract

backgroundExposure to endocrine disruptors is unavoidable. Many such compounds are suspected to impact neurologic development of children, but most studies conducted have considered effects of individual chemicals in isolation. Because exposures co-occur, it is important to consider their health impacts in a single regression framework.

methodsWe applied Bayesian statistical tools (including shared mean and mixture priors for 25 unique chemicals) to study independent associations of endocrine disruptor biomarkers with autism spectrum disorder (ASD) (n = 491) and intellectual disability (n = 155), compared with 373 general population controls, in the Early Markers for Autism study. We measured biomarkers in maternal serum collected and stored from midpregnancy and considered them individually or as a class (i.e., summed polychlorinated biphenyls). We adjusted all models for original matching factors (child sex and month and year of birth), maternal age, maternal race/ethnicity, parity, and maternal education at the time samples were collected. We estimated the change in the odds of ASD or intellectual disability per 1 SD increase in the z-score of measured biomarker concentration for each chemical.

resultsOdds of ASD and intellectual disability did not change with increasing concentration for any specific endocrine disruptor. The effect estimates for each chemical were centered on or near an odds ratio of 1.00 in both models where we applied a shared mean or a mixture prior.

conclusionOur mixtures analyses do not suggest an independent relationship with ASD or intellectual disability with any of the 25 chemicals examined together in this mixtures analysis.

Indexed as

Prenatal Exposure Delayed EffectsAutism Spectrum DisorderBayes TheoremCase-Control StudiesChildChild, PreschoolEndocrine DisruptorsFemaleHumansIntellectual DisabilityMalePregnancyEndocrine Disruptors

Identifiers

PMID30789431
PMCPMC6456403
OpenAlexW2915655124

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.