Evidence map›Paper›PMID 33691315›Full record

ArticleHormone research in paediatrics2020

Early Adiposity Rebound Predicts Obesity and Adiposity in Youth with Congenital Adrenal Hyperplasia.

Gagandeep Bhullar, Veeraya K Tanawattanacharoen, Mei Y Yeh, William S Kim, Alaina P Vidmar, Mitchell E Geffner, Darryl H Hwang, Mimi S Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Hormone research in paediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Observational
  2. Review
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  11. Article
  12. Early adiposity rebound: predictors and outcomes.Italian journal of pediatrics · 2024
    Review
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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.

Gagandeep BhullarCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA.
Veeraya K TanawattanacharoenCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA.
Mei Y YehCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA.
William S KimCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA.
Alaina P VidmarCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA.
Mitchell E GeffnerCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA.
Darryl H HwangKeck School of Medicine of University of Southern California, Los Angeles, California, USA.
Mimi S KimCenter for Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, California, USA, mskim@chla.usc.edu.

Funding

Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
LOS ANGELES BASIN CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR031986 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2010 to 2011
$21.1M
Southern California Clinical and Translational Science InstituteKL2TR000131 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$2.1M
Brain and Adipose Contributors to Food Seeking in Youth with Adrenal HyperplasiaK23HD084735 · NICHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI KIM, MIMI SUSAN · 2016 to 2018
$474k
Effects of Androgen Excess on Lipid Distribution in Congenital Adrenal HyperplasiaR03HD101718 · NICHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI KIM, MIMI SUSAN · 2020 to 2021
$183k
NCATS NIH HHS KL2 TR000131NCATS NIH HHS UL1 TR000130NCRR NIH HHS UL1 RR031986NICHD NIH HHS K23 HD084735NICHD NIH HHS R03 HD101718
6 · The paper itself

Abstract

introductionYouth with classical congenital adrenal hyperplasia (CAH) have higher prevalence of cardiometabolic risk factors such as obesity, abdominal adiposity, and hypertension. Patients with CAH also exhibit an earlier adiposity rebound (AR) compared to normative populations. However, the predictive relationship between AR and cardiometabolic risk factors needs to be better understood.

methodsWe performed a retrospective cohort study at a US tertiary pediatric center in youth with classical CAH due to 21-hydroxylase deficiency. AR was determined by cubic polynomial modeling. A subset of participants had fasting analytes, whole-body dual-energy X-ray absorptiometry, and magnetic resonance imaging as adolescents.

resultsIn 42 youth with CAH (45.2% female, 54.8% Hispanic, and 90.5% salt-wasting form), the average age at AR was 3.4 ± 1.3 years. AR differed by BMI-z, with youth with obesity having an earlier AR (2.8 ± 1.0 years) compared to lean youth (4.1 ± 1.3 years, p = 0.001). However, AR did not differ by either CAH form or sex. Earlier AR predicted higher BMI-z at 7 and 12 years of age. In addition, earlier AR predicted increased central obesity (as measured by waist circumference, subcutaneous adipose tissue, and trunk fat) and total body fat in adolescence. AR was negatively correlated with bone age, and its relationships with HDL and hypertension were trending towards significance.

conclusionsAR in youth with classical CAH could serve as a useful clinical marker to identify those patients who are at higher risk for developing cardiometabolic risk factors during childhood and adolescence.

Indexed as

AdiposityCardiometabolic Risk FactorsChild DevelopmentAdrenal Hyperplasia, CongenitalChild, PreschoolFemaleHumansMaleRetrospective Studies21-Hydroxylase deficiencyAdiposity reboundBody mass indexCongenital adrenal hyperplasiaObesity

Identifiers

PMID33691315
PMCPMC8159886

What OpenQuestion holds

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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.