Evidence map›Paper›PMID 35621126›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2022

Rates of diagnoses of sleep disorders in children with chronic medical conditions.

Pranshu A Adavadkar, Andrea A Pappalardo, Anne Elizabeth Glassgow, Christina Zhang, Alan Schwartz, Lee J Brooks, Molly A Martin

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Health care expenditures associated with sleep disorders among children and adolescents in the United States: a nationally representative study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  2. Review
  3. Observational
  4. Do children living with a chronic disease have more disturbed sleep than their healthy peers?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  5. Article
  6. Association between sleep disorders and health care utilization in children with chronic medical conditions: a Medicaid claims data analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    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

7 authors at 4 institutions in 1 country.

Pranshu A AdavadkarDepartment of Pediatrics, University of Illinois Children's Hospital, University of Illinois at Chicago, Chicago, Illinois.
Andrea A PappalardoDepartment of Pediatrics, University of Illinois Children's Hospital, University of Illinois at Chicago, Chicago, Illinois.
Anne Elizabeth GlassgowDepartment of Pediatrics, University of Illinois Children's Hospital, University of Illinois at Chicago, Chicago, Illinois.
Christina ZhangDepartment of Pediatrics, University of Southern California, Los Angeles, California.
Alan SchwartzDepartment of Pediatrics, University of Illinois Children's Hospital, University of Illinois at Chicago, Chicago, Illinois.
Lee J BrooksDepartment of Pediatrics, Rowan SOM, Stratford, New Jersey.
Molly A MartinDepartment of Pediatrics, University of Illinois Children's Hospital, University of Illinois at Chicago, Chicago, Illinois.
University of Illinois Chicago · USComer Children's Hospital · USRowan University · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesThis investigation examines sleep disorder (SD) diagnoses in a large population of children and adolescents with chronic medical conditions (CMCs). Little is known about SD diagnoses in this population. The large population used in this study allowed examination of SD rates by CMC type and demographics.

methodsData were from the Coordinated Health Care for Complex Kids (CHECK) project designed for Medicaid-funded children and adolescents with at least 1 CMC from a large metropolitan area. The study population (n = 16,609) was limited to children and adolescents, 0 to 18 years of age. SD and CMC diagnoses were obtained from Medicaid claims data.

resultsFourteen percent of the population (mean age of 9.1 years [standard deviation = 5.2]; 35.8% African American; 56.4% male; 77 with more than 1 CMC) received a sleep disorder diagnosis. The most frequent diagnosis was sleep-disordered breathing (11.2%), followed by nocturnal enuresis (1.2%) and insomnia (1%). SDs were diagnosed more frequently in those with multiple CMCs than in those with 1 CMC (19.7% vs 5.8%;

conclusionsOur analysis of Medicaid claims data of a large urban cohort offers detailed information about the rates of sleep diagnoses and suggests underdiagnosis of SDs in this vulnerable, high-risk, primarily ethnic minority population. Underrecognition of sleep disorders has short- and long-term health and economic consequences. Study results may help clinicians implement appropriate SD screening and management for children and adolescents with CMCs. CITATION: Adavadkar PA, Pappalardo AA, Glassgow AE, et al. Rates of diagnoses of sleep disorders in children with chronic medical conditions.

Indexed as

Sleep Apnea SyndromesSleep Initiation and Maintenance DisordersSleep Wake DisordersAdolescentChildChronic DiseaseEthnicityFemaleHumansMaleMinority Groupschronic medical conditionsdiagnosis of sleep disordersrates of sleep diagnosessleep in high-risk children

Identifiers

PMID35621126
PMCPMC9340607
OpenAlexW4281650303

What OpenQuestion holds

Textmetadata
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.