Evidence map›Paper›PMID 33591436›Full record

ArticleJournal of autism and developmental disorders2021

Autism Detection in Children by Combined Use of Gaze Preference and the M-CHAT-R in a Resource-Scarce Setting.

Kelly Jensen, Sassan Noazin, Leandra Bitterfeld, Andrea Carcelen, Natalia I Vargas-Cuentas, Daniela Hidalgo, Alejandra Valenzuela, Avid Roman-Gonzalez, Casey Krebs, Vincent Clement and 15 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

25 authors at 5 institutions in 2 countries.

Kelly Jensen *Tulane University School of Medicine, New Orleans, LA, USA.
Sassan Noazin *Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. snoazin1@jhu.edu.ORCID http://orcid.org/0000-0002-2043-2615
Leandra BitterfeldJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Andrea CarcelenDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Natalia I Vargas-CuentasBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Daniela HidalgoBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Alejandra ValenzuelaBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Avid Roman-GonzalezBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Casey KrebsYale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.
Vincent ClementPsychology Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Cody NolanWeill Cornell Medical College, New York, NY, USA.
Franklin BarrientosBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Ardi Knobel MendozaRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Paola Noriega-DonisJohns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
Claudia PalaciosBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Andrea RamirezBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Macarena VittetBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Emil HafeezDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Mariana Torres-VisoCCSN: The Center for Children With Special Needs, Glastonbury, CT, USA.
Myriam VelardeIMLA: Instituto Medico Lengua Aprendazaje, Lima, Peru.
Lawrence H MoultonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Michael D PowersYale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.
Robert H GilmanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Mirko ZimicBioinformatics and Molecular Biology Laboratory, Research and Development Laboratory, Science and Philosophy Faculty, Universidad Peruana Cayetano Heredia, Lima, Peru.
Autism Working Group in Peru
Johns Hopkins University · USUniversidad Peruana Cayetano Heredia · PERutgers, The State University of New Jersey · USTulane University · USCenter For Children With Special Needs · US

Funding

Bill and Melinda Gates Foundation OPPOPP1140557Innóvate Perú Contrato N 153 PNICP-PIAP-2015Wendy Klag grant through Johns Hopkins University 160502174
6 · The paper itself

Abstract

Most children with autism spectrum disorder (ASD), in resource-limited settings (RLS), are diagnosed after the age of four. Our work confirmed and extended results of Pierce that eye tracking could discriminate between typically developing (TD) children and those with ASD. We demonstrated the initial 15 s was at least as discriminating as the entire video. We evaluated the GP-MCHAT-R, which combines the first 15 s of manually-coded gaze preference (GP) video with M-CHAT-R results on 73 TD children and 28 children with ASD, 36-99 months of age. The GP-MCHAT-R (AUC = 0.89 (95%CI: 0.82-0.95)), performed significantly better than the MCHAT-R (AUC = 0.78 (95%CI: 0.71-0.85)) and gaze preference (AUC = 0.76 (95%CI: 0.64-0.88)) alone. This tool may enable early screening for ASD in RLS.

Indexed as

Eye-Tracking TechnologyHealth ResourcesAutism Spectrum DisorderChecklistChildChild, PreschoolFemaleFixation, OcularHumansMaleMass ScreeningPeruASD diagnosisAutism spectrum disorderDevelopmental disorderEye trackingGaze preference

Identifiers

PMID33591436
PMCPMC7954728
OpenAlexW3130239881

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.