Evidence map›Paper›PMID 32193763›Full record

ArticleJournal of autism and developmental disorders2020

California Autism Prevalence by County and Race/Ethnicity: Declining Trends Among Wealthy Whites.

Cynthia Nevison, William Parker

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  12. The social patterning of autism diagnoses reversed in California between 1992 and 2018.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

2 authors.

Cynthia NevisonInstitute for Alpine and Arctic Research, University of Colorado, Campus Box 450, Boulder, 80309-0450, USA. Cynthia.Nevison@colorado.edu.
William ParkerDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

County-level ASD prevalence was estimated using an age-resolved snapshot from the California Department of Developmental Services (DDS) for birth years 1993-2013. ASD prevalence increased among all children across birth years 1993-2000 but plateaued or declined thereafter among whites from wealthy counties. In contrast, ASD rates increased continuously across 1993-2013 among whites from lower income counties and Hispanics from all counties. Both white ASD prevalence and rate of change in prevalence were inversely correlated to county income from birth year 2000-2013 but not 1993-2000. These disparate trends within the dataset suggest that wealthy white parents, starting around 2000, may have begun opting out of DDS in favor of private care and/or making changes that effectively lowered their children's risk of ASD.

Indexed as

EthnicityLocal GovernmentAdolescentAutistic DisorderCaliforniaChildFemaleHumansIncomeMaleParentsPopulation SurveillancePrevalenceWhite PeopleAsianAutism spectrum disorderBlackCaliforniaCountyHispanicIncomePrevalenceRace/ethnicitySilicon ValleyTime trendsWhite

Identifiers

PMID32193763
PMCPMC7557477

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.