Evidence map›Paper›PMID 32116579›Full record

ArticleFrontiers in integrative neuroscience2019

Biomarker Acquisition and Quality Control for Multi-Site Studies: The Autism Biomarkers Consortium for Clinical Trials.

Sara Jane Webb, Frederick Shic, Michael Murias, Catherine A Sugar, Adam J Naples, Erin Barney, Heather Borland, Gerhard Hellemann, Scott Johnson, Minah Kim and 12 more

Abstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. The GREENBEAN checklist for reporting studies evaluating the effectiveness of EEG-based biomarkers.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Parsing evoked and induced gamma response differences in Autism: A visual evoked potential study.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  13. Article
  14. Review
  15. Biomarker Methodologies: A NIMH Perspective.Advances in neurobiology · 2024
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

22 authors.

Sara Jane WebbCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Frederick ShicCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Michael MuriasDuke Center for Autism and Brain Development, Duke University, Durham, NC, United States.
Catherine A SugarDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, United States.
Adam J NaplesYale Child Study Center, Yale University, New Haven, CT, United States.
Erin BarneyCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Heather BorlandCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Gerhard HellemannDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Scott JohnsonDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Minah KimCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
April R LevinDepartment of Neurology, Boston Children's Hospital, Boston, MA, United States.
Maura Sabatos-DeVitoDuke Center for Autism and Brain Development, Duke University, Durham, NC, United States.
Megha SanthoshCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Damla SenturkDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, United States.
James DziuraYale Child Study Center, Yale University, New Haven, CT, United States.
Raphael A BernierCenter on Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, United States.
Katarzyna ChawarskaYale Child Study Center, Yale University, New Haven, CT, United States.
Geraldine DawsonDuke Center for Autism and Brain Development, Duke University, Durham, NC, United States.
Susan FajaHarvard Medical School, Harvard University, Boston, MA, United States.
Shafali JesteDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
James McPartlandYale Child Study Center, Yale University, New Haven, CT, United States.
Autism Biomarkers Consortium for Clinical Trials

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The Autism Biomarkers Consortium for Clinical TrialsU19MH108206 · NIMH · YALE UNIVERSITY · PI DZIURA, JAMES DAVID · 2015 to 2024
$68.8M
FDA HHS U01 FD007000NCATS NIH HHS UL1 TR001863NIMH NIH HHS U19 MH108206
6 · The paper itself

Abstract

The objective of the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) is to evaluate a set of lab-based behavioral video tracking (VT), electroencephalography (EEG), and eye tracking (ET) measures for use in clinical trials with children with autism spectrum disorder (ASD). Within the larger organizational structure of the ABC-CT, the Data Acquisition and Analytic Core (DAAC) oversees the standardization of VT, EEG, and ET data acquisition, data processing, and data analysis. This includes designing and documenting data acquisition and analytic protocols and manuals; facilitating site training in acquisition; data acquisition quality control (QC); derivation and validation of dependent variables (DVs); and analytic deliverables including preparation of data for submission to the National Database for Autism Research (NDAR). To oversee consistent application of scientific standards and methodological rigor for data acquisition, processing, and analytics, we developed standard operating procedures that reflect the logistical needs of multi-site research, and the need for well-articulated, transparent processes that can be implemented in future clinical trials. This report details the methodology of the ABC-CT related to acquisition and QC in our Feasibility and Main Study phases. Based on our acquisition metrics from a preplanned interim analysis, we report high levels of acquisition success utilizing VT, EEG, and ET experiments in a relatively large sample of children with ASD and typical development (TD), with data acquired across multiple sites and use of a manualized training and acquisition protocol.

Indexed as

autism spectrum disorderbiomarkersclinical trial methodsEEGeye trackingguidelinesvideo tracking

Identifiers

PMID32116579
PMCPMC7020808

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.