Evidence mapPaperPMID 37017271Full record

ArticlePediatric obesity2023

Paediatric obesity: Documentation, screening, and pharmacotherapy in a national cohort.

Arek Hidirsah, Yan Chai, Ryan Flores, Alaina P Vidmar, Claudia Borzutzky, Juan Espinoza

Abstract read
In one paragraph

Article in Pediatric obesity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
  4. Article
  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

6 authors.

Arek HidirsahDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-0394-9962
Yan ChaiBiostatistics Core, Children's Hospital Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-1174-8615
Ryan FloresKeck School of Medicine of USC, Los Angeles, California, USA.
Alaina P VidmarDepartment of Pediatrics, Children's Hospital Los Angeles and Keck School of Medicine of USC, Los Angeles, California, USA.ORCID 0000-0003-3790-6255
Claudia BorzutzkyDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-5731-8074
Juan EspinozaStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-0513-588X

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · UNIVERSITY OF SOUTHERN CALIFORNIA · 2025 to 2025
$9.1M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

backgroundMultiple organizations have published guidelines for the screening and treatment of obesity and related comorbidities in youth, including the use of anti-obesity medications (AOM). This study aimed to determine which paediatric patients: (1) receive a diagnostic code for obesity; (2) are most likely to be screened for hyperlipidaemia, non-alcoholic fatty liver disease, and type 2 diabetes mellitus; and (3) are most likely to be prescribed AOM.

methodsA cohort of 35 898 patients 9 years 4 months to 17 years 6 months of age with a BMI > 30 or greater than the 95th% on three separate outpatient encounters was generated using the TriNetX database. Logistic regression models were used to estimate the associations between demographics in the study population and the likelihood of diagnosis of obesity, screening for comorbidities, and prescription of AOMs.

resultsAsian, Black, and Hispanic youths had increased odds of having a diagnosis of obesity and being screened for all three comorbidities. Documentation of obesity was associated with increased odds of screening for all comorbidities. Female sex, documentation of obesity, and higher BMIs were associated with increased odds of being prescribed AOMs. Black and Native American races decreased the likelihood of being prescribed AOM.

conclusionsManagement of obesity in terms of documentation of disease, screening for comorbidities, and initiation of AOM continues to fall short of the guidelines put forth by multiple organizations. Race/ethnicity, sex, and BMI correlate with differences in care provided to obese paediatric patients. Further research is needed to identify the barriers to and causes of these disparities.

Indexed as

Diabetes Mellitus, Type 2Pediatric ObesityAdolescentChildComorbidityDocumentationEthnicityFemaleHumansanti-obesity medicationsNAFLDobesity-related comorbiditiesscreeningType 2 diabetes

Identifiers

PMID37017271
PMCPMC11759104

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.