Evidence map›Paper›PMID 34581918›Full record

ReviewJournal of autism and developmental disorders2022

Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses.

Scott D Grosse, Phyllis Nichols, Kwame Nyarko, Matthew Maenner, Melissa L Danielson, Lindsay Shea

Abstract readReview
In one paragraph

Review in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Therapy and Antidepressant Use in 8- to 29-Year-Old Autistic Medicaid Enrollees With Depression.Autism : the international journal of research and practice · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Big data in autism research: Methodological challenges and solutions.Autism research : official journal of the International Society for Autism Research · 2023
    Article
  14. Article
  15. 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

6 authors.

Scott D GrosseNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mail Stop S106-4, Atlanta, GA, 30341, USA. sgrosse@cdc.gov.ORCID http://orcid.org/0000-0003-1078-6855
Phyllis NicholsNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mail Stop S106-4, Atlanta, GA, 30341, USA.
Kwame NyarkoNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mail Stop S106-4, Atlanta, GA, 30341, USA.
Matthew MaennerNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mail Stop S106-4, Atlanta, GA, 30341, USA.
Melissa L DanielsonNational Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mail Stop S106-4, Atlanta, GA, 30341, USA.
Lindsay SheaPolicy and Analytics Center, A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach.

Indexed as

Autism Spectrum DisorderAlgorithmsDatabases, FactualHumansInsurance CoverageUnited StatesAutism spectrum disorderCase-finding algorithmsClaims dataHealth services research

Identifiers

PMID34581918
PMCPMC9077262

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.