Evidence map›Paper›PMID 28068486›Full record

ReviewAnnual review of public health2017

The Changing Epidemiology of Autism Spectrum Disorders.

Kristen Lyall, Lisa Croen, Julie Daniels, M Daniele Fallin, Christine Ladd-Acosta, Brian K Lee, Bo Y Park, Nathaniel W Snyder, Diana Schendel, Heather Volk and 2 more

Abstract readReview
In one paragraph

Review in Annual review of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 485 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
485citing papers in PubMed, 13 pooled it
–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

485 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  7. Cortical thickness abnormalities in autism spectrum disorder.European child & adolescent psychiatry · 2024
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425 more citing papers are in PubMed but not listed here.

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

12 authors.

Kristen LyallA.J. Drexel Autism Institute, Philadelphia, Pennsylvania 19104; email: cjn32@drexel.edu.
Lisa CroenKaiser Permanente Division of Research, Oakland, California 94612.
Julie DanielsDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, North Carolina 27599.
M Daniele FallinWendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.
Christine Ladd-AcostaWendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.
Brian K LeeDepartment of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, Pennsylvania 19104.
Bo Y ParkWendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.
Nathaniel W SnyderA.J. Drexel Autism Institute, Philadelphia, Pennsylvania 19104; email: cjn32@drexel.edu.
Diana SchendelDepartment of Economics and Business, National Centre for Register-Based Research, Aarhus University, DK-8210 Aarhus, Denmark.
Heather VolkWendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.
Gayle C WindhamCalifornia Department of Public Health, Division of Environmental and Occupational Disease Control, Richmond, California 94805.
Craig NewschafferA.J. Drexel Autism Institute, Philadelphia, Pennsylvania 19104; email: cjn32@drexel.edu.

Funding

Prospective Evaluation of Air Pollution, Cognition, and Autism from Birth OnwardR01ES023780 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VOLK, HEATHER E · 2014 to 2017
$3.0M
Investigating Air Pollution Effects on the Developing Brain and ASDR01ES026961 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2016 to 2020
$2.7M
Prenatal biomarkers of exposure and individual susceptibility to endocrine disrupting compoundsK22ES026235 · NIEHS · DREXEL UNIVERSITY · PI SNYDER, NATHANIEL W. · 2016 to 2018
$485k
Lipidomics of meconium in neurodevelopmentR21HD087866 · NICHD · DREXEL UNIVERSITY · PI SNYDER, NATHANIEL W. · 2016 to 2017
$430k
The influence of prenatal maternal exposures on fetal sterol metabolomicsR03CA211820 · NCI · DREXEL UNIVERSITY · PI SNYDER, NATHANIEL W. · 2016 to 2016
$157k
NCI NIH HHS R03 CA211820NICHD NIH HHS R21 HD087866NIEHS NIH HHS K22 ES026235NIEHS NIH HHS R01 ES023780NIEHS NIH HHS R01 ES026961
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with lifelong impacts. Genetic and environmental factors contribute to ASD etiology, which remains incompletely understood. Research on ASD epidemiology has made significant advances in the past decade. Current prevalence is estimated to be at least 1.5% in developed countries, with recent increases primarily among those without comorbid intellectual disability. Genetic studies have identified a number of rare de novo mutations and gained footing in the areas of polygenic risk, epigenetics, and gene-by-environment interaction. Epidemiologic investigations focused on nongenetic factors have established advanced parental age and preterm birth as ASD risk factors, indicated that prenatal exposure to air pollution and short interpregnancy interval are potential risk factors, and suggested the need for further exploration of certain prenatal nutrients, metabolic conditions, and exposure to endocrine-disrupting chemicals. We discuss future challenges and goals for ASD epidemiology as well as public health implications.

Indexed as

Air PollutionAutism Spectrum DisorderEnvironmentEpigenesis, GeneticHumansRisk Factorsair pollutionautismenvironmental exposuresepidemiologygene-environment interactiongenetics

Identifiers

PMID28068486
PMCPMC6566093

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.