Evidence map›Paper›PMID 25198446›Full record

ReviewPediatric annals2014

Screening for hormonal, monogenic, and syndromic disorders in obese infants and children.

Kelly Mason, Laura Page, Pinar Gumus Balikcioglu

Open access · bronzeAbstract readReview
In one paragraph

Review in Pediatric annals, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Single Gene and Syndromic Causes of Obesity: Illustrative Examples.Progress in molecular biology and translational science · 2016
    Review
  14. Addressing Childhood Obesity: Opportunities for Prevention.Pediatric clinics of North America · 2015
    Review
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

3 authors at 2 institutions in 1 country.

Kelly Mason
Laura Page
Pinar Gumus Balikcioglu
Duke University Hospital · USMarymount University · US

Funding

Endocrinology and Metabolism Training ProgramT32DK007012 · NIDDK · DUKE UNIVERSITY · PI DAVID A. D'ALESSIO · 1986 to 2026
$6.8M
NIDDK NIH HHS T32 DK007012
6 · The paper itself

Abstract

The prevalence of pediatric obesity in the United States is nearly 17%. Most cases are "exogenous", resulting from excess energy intake relative to energy expenditure over a prolonged period of time. However, some cases of obesity are "endogenous", associated with hormonal, genetic, or syndromic disorders such as hypothyroidism, Cushing's syndrome, growth hormone deficiency, defective leptin signaling, mutations in the melanocortin 4 receptor, and Prader-Willi and Bardet-Biedl syndromes. This article reviews the hormonal, monogenic, and syndromic causes of childhood obesity and identifies critical features that distinguish "endogenous" obesity disorders from the more common exogenous obesity. Findings that raise suspicion for endogenous obesity include onset in infancy, lack of satiety, poor linear growth, dysmorphic features, and cognitive dysfunction. Selection and interpretation of appropriate laboratory tests and indications for subspecialist referral are also discussed.

Indexed as

Bardet-Biedl SyndromeBiomarkersChildDiagnosis, DifferentialEndocrine System DiseasesGenetic MarkersHumansInfantLeptinMutationPediatric ObesityPrader-Willi SyndromeReceptor, Melanocortin, Type 4BiomarkersGenetic MarkersLeptinMC4R protein, humanReceptor, Melanocortin, Type 4

Identifiers

PMID25198446
PMCPMC4369917
OpenAlexW2007977474

What OpenQuestion 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 OpenQuestion graph.