Evidence map›Paper›PMID 35367909›Full record

ArticleSleep medicine2022

Characterizing sleep disorders in an autism-specific collection of electronic health records.

E V Singer, M Niarchou, A Maxwell-Horn, D Hucks, R Johnston, J S Sutcliffe, L K Davis, B A Malow

Abstract read
In one paragraph

Article in Sleep medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Precision sleep signatures to predict mental health outcomes in youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Review
  2. Article
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  11. A practical approach to identifying autistic adults within the electronic health record.Autism research : official journal of the International Society for Autism Research · 2023
    Article
  12. 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

8 authors.

E V SingerSleep Disorders Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: emily.singer@vumc.org.
M NiarchouVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
A Maxwell-HornDivision of Developmental Medicine, Department of Pediatric, Vanderbilt University Medical Center, Nashville, TN, USA.
D HucksVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
R JohnstonVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
J S SutcliffeDepartments of Molecular Physiology & Biophysics and Psychiatry & Behavioral Sciences, Vanderbilt University, School of Medicine, Nashville, TN, USA.
L K DavisDivision of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
B A MalowSleep Disorders Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NICHD NIH HHS P50 HD103537
6 · The paper itself

Abstract

OBJECTIVE/

backgroundSleep problems are common in people on the autism spectrum. This study reviews one detailed approach to querying the electronic health record (EHR) in a large tertiary care center. PATIENTS/

methodsWe developed methods for identifying people on the autism spectrum and defined their sleep problems using the key words, "sleep" or "melatonin", or International Classification of Diseases (ICD) codes. We examined treatment responses of these individuals to melatonin supplementation.

resultsSleep problems were documented in 86% of patients with ages ranging from 6 to 30 years old. Our specific keyword search yielded more patients with sleep diagnoses than ICD codes alone. About two-thirds of patients who received melatonin supplementation reported benefit from its use.

conclusionsOur study provides a framework for using deidentified medical records to characterize sleep, a common co-occurring condition, in people on the autism spectrum. Using specific keywords could be helpful in future work that queries the EHR.

Indexed as

Autism Spectrum DisorderAutistic DisorderMelatoninSleep Wake DisordersAdolescentAdultChildElectronic Health RecordsHumansYoung AdultMelatoninAutism spectrum disorderElectronic health recordInsomniaMelatoninSleep

Identifiers

PMID35367909
PMCPMC9018608

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Registered trials

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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.