Evidence map›Paper›PMID 24754463›Full record

ReviewPediatric diabetes2014

Estimation of insulin sensitivity in children: methods, measures and controversies.

Rebecca J Brown, Jack A Yanovski

Open access · greenAbstract readReview
In one paragraph

Review in Pediatric diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Measuring Insulin Resistance in Humans.Hormone research in paediatrics · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Rebecca J BrownDiabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 20892-1103, USA.
Jack A Yanovski
National Institute of Diabetes and Digestive and Kidney Diseases · USNational Institutes of Health · US

Funding

Physiology, Psychology, and Genetics of ObesityZIAHD000641 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YANOVSKI, JACK A. · 2009 to 2025
$24.8M
Molecular and Clinical Studies of Insulin ResistanceZIADK047050 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BROWN, REBECCA · 2009 to 2025
$6.1M
Intramural NIH HHS Z99 DK999999Intramural NIH HHS Z99 HD999999Intramural NIH HHS ZIA DK047050Intramural NIH HHS ZIA HD000641
6 · The paper itself

Abstract

Insulin resistance is defined as a state where insulin produces a diminished biological response, primarily in its capacity as a glucose-regulating hormone. Insulin resistance is commonly diagnosed by pediatric clinicians, but is rarely measured directly in children or adolescents. This review provides an overview of the techniques that can be used to assess insulin sensitivity in children, summarizing the methods involved, the assumptions, pitfalls, and appropriate uses of each technique, as well as their validation and reproducibility in pediatric samples.

Indexed as

Insulin ResistanceNutrition AssessmentAdolescentBiomarkersChildGlucose Clamp TechniqueHumansValidation Studies as TopicBiomarkersFSIGTglucose clamp techniqueglucose toleranceHOMAinsulin sensitivityQUICKIsurrogate measures

Identifiers

PMID24754463
PMCPMC4035238
OpenAlexW1508068225

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.