Evidence map›Paper›PMID 37596816›Full record

ArticleAutism research : official journal of the International Society for Autism Research2023

Big data in autism research: Methodological challenges and solutions.

Brian K Lee, Diana E Schendel, Lindsay L Shea

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Substance Use Disorder Outcomes and Treatment by Autism Status in Medicaid Enrollees With Substance Use Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  2. 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

3 authors.

Brian K LeeDepartment of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-3635-8034
Diana E SchendelDepartment of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-8588-1227
Lindsay L SheaModifiable autism risk factors research program, A.J. Drexel Autism Institute, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0610-0355

Funding

Identifying Co-Occurrence and Service Use Profiles of Alzheimer's Disease and Autism Spectrum DisorderR01MH117653 · NIMH · DREXEL UNIVERSITY · PI SHEA, LINDSAY LAWER · 2018 to 2021
$2.1M
LEGENNDS: Linking Epidemiology and GEnetics of Neurodevelopmental and Neurodegenerative Disorders StudyR01NS131433 · NINDS · DREXEL UNIVERSITY · PI Brian Kane Lee · 2023 to 2026
$2.1M
Maternal epilepsy, antiepileptic drug use during pregnancy, and risk of autismR01NS107607 · NINDS · DREXEL UNIVERSITY · PI LEE, BRIAN KANE, MAGNUSSON, CECILIA · 2019 to 2022
$1.7M
NIH HHSNIMH NIH HHS R01 MH117653NINDS NIH HHS 1R01NS107607-01A1NINDS NIH HHS R01 NS107607NINDS NIH HHS R01 NS131433
6 · The paper itself

Abstract

While the concept of big data has emerged over the past decade as a hot topic in nearly all areas of scientific inquiry, it has rarely been discussed in the context of autism research. In this commentary we describe aspects of big data that are relevant to autism research and methodological issues such as confounding and data error that can hamper scientific investigation. Although big data studies can have transformative impact, bigger is not always better, and big data require the same methodological considerations and interdisciplinary collaboration as "small data" to extract useful scientific insight.

Indexed as

Autism Spectrum DisorderAutistic DisorderBig DataHumansbig dataepidemiology

Identifiers

PMID37596816
PMCPMC11168478

What OpenQuestion holds

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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.