Evidence map›Paper›PMID 39028671›Full record

ArticleJAMA network open2024

Mental Health Diagnoses Risk Among Children and Young Adults With Cerebral Palsy, Chronic Conditions, or Typical Development.

Surbhi Bhatnagar, Alexis Mitelpunkt, Juliana J Rizzo, Nanhua Zhang, Tess Guzman, Ryan Schuetter, Jilda Vargus-Adams, Amy F Bailes, Kelly Greve, Melissa Gerstle and 3 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Surbhi BhatnagarDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Alexis MitelpunktDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Juliana J RizzoCollege of Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Nanhua ZhangDivision of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Tess GuzmanDivision of Pediatric Rehabilitation Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Ryan SchuetterDivision of Pediatric Rehabilitation Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Jilda Vargus-AdamsDivision of Pediatric Rehabilitation Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Amy F BailesDivision of Occupational Therapy and Physical Therapy, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Kelly GreveDivision of Occupational Therapy and Physical Therapy, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Melissa GerstleDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Ernest PedapatiDivision of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Bruce AronowDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Brad G KurowskiDivision of Pediatric Rehabilitation Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.

Funding

Leveraging the electronic health record to characterize and optimize care delivery for children with cerebral palsy.R01HD103654 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Bruce J Aronow, Amy Bailes · 2021 to 2026
$3.3M
NICHD NIH HHS R01 HD103654
6 · The paper itself

Abstract

Importance: Mental health (MH) issues in children with cerebral palsy (CP) are poorly understood compared with other pediatric populations. Objective: To examine MH diagnosis code assignment among children and young adults with CP and compare with typically developing (TD) and chronic condition (CC) pediatric populations. Design, Setting, and Participants: This case-control study used International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes to create a CP case set and CC and TD control sets using electronic health record data of children and young adults from a large tertiary care children's hospital in the midwestern United States between 2010 and 2022. Case-control matching was performed to control for demographic factors. Data were analyzed from June to December 2023. Exposures: All MH diagnosis codes were mapped to ICD-10-CM and categorized using Clinical Classifications Software Refined (CCSR). Main Outcomes and Measures: The incidence rates of MH CCSR categories were calculated. Descriptive and comparative statistics were used to evaluate the significance and odds associated with factors. Results: Data from 216 794 individuals (mean [SD] baseline age, 4.3 [5.1] years; 118 562 [55%] male) were analyzed, including 3544 individuals with CP, 142 160 individuals with CC, and 71 080 TD individuals. The CP cohort spread across Gross Motor Function Classification System (GMFCS) levels I (981 individuals [28%]), II (645 individuals [18%]), III (346 individuals [10%]), IV (502 individuals [14%]), and V (618 individuals [17%]). Rates varied significantly for anxiety (824 individuals with CP [23%]; 25 877 individuals with CC [9%]; 6274 individuals with TD [18%]), attention-deficit/hyperactivity disorder (534 individuals with CP [15%]; 22 426 individuals with CC [9%]; 6311 individuals with TD [16%]); conduct or impulse disorder (504 individuals with CP [14%]; 13 209 individuals with CC [5%]; 3715 individuals with TD [9%]), trauma or stress disorders (343 individuals with CP [10%]; 18 229 individuals with CC [8%]; 5329 individuals with TD [13%]), obsessive-compulsive disorder (251 individuals with CP [7%]; 3795 individuals with CC [1%]; 659 individuals with TD [3%]), depression (108 individuals with CP [3%]; 12 224 individuals with CC [5%]; 4007 individuals with TD [9%]), mood disorders (74 individuals with CP [2%]; 4355 individuals with CC [2%]; 1181 individuals with TD [3%]), and suicidal ideation (72 individuals with CP [2%]; 7422 individuals with CC [5%]; 3513 individuals with TD [5%]). There was significant variation in odds of MH diagnoses by GMFCS level (I-II vs III-V: odds ratio [OR], 1.23; 95% CI, 1.09-1.40; P = .001). Among individuals with CP, males were more likely than females to have diagnosis codes for conduct or impulse disorders (OR, 1.41; 95% CI, 1.16-1.73) and attention-deficit/hyperactivity disorder (OR, 1.41 [95% CI, 1.15-1.73]). Black individuals, compared with White individuals, were more likely to have diagnoses for obsessive-compulsive disorder (OR, 1.57 [95% CI, 1.14-2.16]), other mood disorders (OR, 1.85 [95% CI, 1.01-3.38]), and trauma or stress disorders (OR, 1.94 [95% CI, 1.44-2.63]). Odds for trauma or stress disorders were elevated for individuals who identified as other races compared with White individuals (OR, 2.80 [95% CI, 2.03-3.87]). Conclusions and Relevance: In this case-control study of children and young adults with CP and matched comparisons, anxiety and conduct or impulse diagnoses were higher in individuals with CP. The lower diagnosis rates of depression and suicidal ideation may indicate underdiagnosis among individuals with CP. There is likely a need for assessment tools that are more suitable for children with CP.

Indexed as

Cerebral PalsyMental DisordersAdolescentCase-Control StudiesChildChild, PreschoolChronic DiseaseFemaleHumansMaleMidwestern United StatesYoung Adult

Identifiers

PMID39028671
PMCPMC11259902

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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.