Evidence map›Paper›PMID 35636343›Full record

ArticleDevelopmental cognitive neuroscience2022

A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets.

Natalie M Saragosa-Harris, Natasha Chaku, Niamh MacSweeney, Victoria Guazzelli Williamson, Maximilian Scheuplein, Brandee Feola, Carlos Cardenas-Iniguez, Ece Demir-Lira, Elizabeth A McNeilly, Landry Goodgame Huffman and 5 more

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 3 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

118 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The Utility of Machine Learning-Enhanced Developmental Cascade Models in Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2026
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58 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

15 authors.

Natalie M Saragosa-HarrisDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA. Electronic address: nsaragosaharris@ucla.edu.
Natasha ChakuDepartment of Psychology, University of Michigan, Ann Arbor, USA. Electronic address: nchaku@umich.edu.
Niamh MacSweeneyDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK. Electronic address: niamh.macsweeney@ed.ac.uk.
Victoria Guazzelli WilliamsonDepartment of Psychology, University of Oregon, USA. Electronic address: vgw@uoregon.edu.
Maximilian ScheupleinInstitute of Education and Child Studies, Leiden University, The Netherlands.
Brandee FeolaDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Carlos Cardenas-IniguezDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Ece Demir-LiraDepartment of Psychological and Brain Sciences, University of Iowa, IA, USA.
Elizabeth A McNeillyDepartment of Psychology, University of Oregon, USA.
Landry Goodgame HuffmanDepartment of Neuroscience, University of Georgia, GA, USA.
Lucy WhitmoreDepartment of Psychology, University of Oregon, USA.
Kalina J MichalskaDepartment of Psychology, University of California Riverside, Riverside, CA, USA.
Katherine Sf DammeInstitute of Developmental Science, Northwestern University, Chicago, IL, USA.
Divyangana RakeshMelbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia.
Kathryn L MillsDepartment of Psychology, University of Oregon, USA; PROMENTA Research Center, Department of Psychology, University of Oslo, Norway.

Funding

University of Iowa Hawkeye Intellectual and Developmental Disabilities Research Center (Hawk-IDDRC)P50HD103556 · NICHD · UNIVERSITY OF IOWA · PI EDWIN TED G. ABEL, Lane Strathearn · 2021 to 2026
$8.5M
Modeling Developmental Change in the ABCD Study: Longitudinal Analyses for Clinical OutcomesR25MH125545 · NIMH · UNIVERSITY OF OREGON · PI MILLS, KATHRYN L · 2020 to 2020
$122k
NICHD NIH HHS P50 HD103556NIMH NIH HHS R25 MH125545
6 · The paper itself

Abstract

As the largest longitudinal study of adolescent brain development and behavior to date, the Adolescent Brain Cognitive Development (ABCD) Study® has provided immense opportunities for researchers across disciplines since its first data release in 2018. The size and scope of the study also present a number of hurdles, which range from becoming familiar with the study design and data structure to employing rigorous and reproducible analyses. The current paper is intended as a guide for researchers and reviewers working with ABCD data, highlighting the features of the data (and the strengths and limitations therein) as well as relevant analytical and methodological considerations. Additionally, we explore justice, equity, diversity, and inclusion efforts as they pertain to the ABCD Study and other large-scale datasets. In doing so, we hope to increase both accessibility of the ABCD Study and transparency within the field of developmental cognitive neuroscience.

Indexed as

CognitionCognitive NeuroscienceAdolescentAdolescent DevelopmentBrainHumansLongitudinal StudiesAdolescent Brain Cognitive Development (ABCD) StudyAdolescent developmentLongitudinal researchOpen researchPractical guide

Identifiers

PMID35636343
PMCPMC9156875

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.