Evidence map›Paper›PMID 26090093›Full record

ReviewJournal of nutritional science2015

Assessment of cardiometabolic risk in children in population studies: underpinning developmental origins of health and disease mother-offspring cohort studies.

R-C Huang, Susan L Prescott, Keith M Godfrey, Elizabeth A Davis

Open access · goldAbstract readReview
In one paragraph

Review in Journal of nutritional science, 2015. 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
8.6field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Intrauterine exposure to diabetes and risk of cardiovascular disease in adolescence and early adulthood: a population-based birth cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2020
    Observational
  12. Review
  13. Metabolic Syndrome: Findings from 20 Years of the Tehran Lipid and Glucose Study.International journal of endocrinology and metabolism · 2018
    Review
  14. Article
  15. Article
  16. Developmental Origins of Common Disease: Epigenetic Contributions to Obesity.Annual review of genomics and human genetics · 2016
    Review
  17. Article
  18. Intrauterine Growth Restriction: Antenatal and Postnatal Aspects.Clinical medicine insights. Pediatrics · 2016
    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

4 authors at 4 institutions in 2 countries.

R-C HuangTelethon Kids Institute , University of Western Australia , Roberts Road , Subiaco , WA , Australia ; 'In-FLAME' the International Inflammation Network , World Universities Network (WUN) ; Department of Endocrinology , Princess Margaret Hospital , Roberts Road , Subiaco , WA , Australia.
Susan L PrescottTelethon Kids Institute , University of Western Australia , Roberts Road , Subiaco , WA , Australia ; 'In-FLAME' the International Inflammation Network , World Universities Network (WUN) ; School of Paediatrics and Child Health Research , University of Western Australia , Roberts Road , Subiaco , Australia.
Keith M GodfreyMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre , University of Southampton and University Hospital Southampton NHS Foundation Trust , Southampton , UK.
Elizabeth A DavisTelethon Kids Institute , University of Western Australia , Roberts Road , Subiaco , WA , Australia ; Department of Endocrinology , Princess Margaret Hospital , Roberts Road , Subiaco , WA , Australia.
The Kids Research Institute Australia · AUUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Western Australia · AUWorldwide Universities Network · GB

Funding

Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

Pregnancy and birth cohorts have been utilised extensively to investigate the developmental origins of health and disease, particularly in relation to understanding the aetiology of obesity and related cardiometabolic disorders. Birth and pregnancy cohorts have been utilised extensively to investigate this area of research. The aim of the present review was twofold: first to outline the necessity of measuring cardiometabolic risk in children; and second to outline how it can be assessed. The major outcomes thought to have an important developmental component are CVD, insulin resistance and related metabolic outcomes. Conditions such as the metabolic syndrome, type 2 diabetes and CHD all tend to have peak prevalence in middle-aged and older individuals but assessments of cardiometabolic risk in childhood and adolescence are important to define early causal factors and characterise preventive measures. Typically, researchers investigating prospective cohort studies have relied on the thesis that cardiovascular risk factors, such as dyslipidaemia, hypertension and obesity, track from childhood into adult life. The present review summarises some of the evidence that these factors, when measured in childhood, may be of value in assessing the risk of adult cardiometabolic disease, and as such proceeds to describe some of the methods for assessing cardiometabolic risk in children.

Indexed as

Cardiovascular riskDOHaD, developmental origins of health and diseaseDXA, dual-energy X-ray absorptiometryIMT, intima media thicknessMetabolic diseaseNAFLD, non-alcoholic fatty liver diseasePaediatric healthPopulation studiesPWV, pulse wave velocityTNFR, TNF receptor

Identifiers

PMID26090093
PMCPMC4463019
OpenAlexW2395042578

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.