Evidence map›Paper›PMID 38715060›Full record

ArticleBMC medicine2024

A proposed simplified definition of metabolic syndrome in children and adolescents: a global perspective.

Xin'nan Zong, Roya Kelishadi, Hae Soon Kim, Peter Schwandt, Tandi E Matsha, Jose G Mill, Carmelo Antonio Caserta, Carla Campos Muniz Medeiros, Anastasios Kollias, Peter H Whincup and 5 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. 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

15 authors.

Xin'nan Zong *Department of Growth and Development, Capital Institute of Pediatrics, Beijing, China.
Roya Kelishadi *Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Hae Soon Kim *Department of Pediatrics, Ewha Womans University College of Medicine, Seoul, Korea.
Peter Schwandt *Atherosclerosis Prevention Institute, Munich-Nuremberg, Munich, Germany.
Tandi E Matsha *Department of Biomedical Sciences, Faculty of Health & Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa.
Jose G Mill *Department of Physiological Sciences, Center of Health Sciences, Federal University of Espírito Santo, Vitória, Brazil.
Carmelo Antonio Caserta *Associazione Calabrese Di Epatologia - Medicina Solidale - A.C.E. ETS, Reggio Calabria, Italy.
Carla Campos Muniz Medeiros *Department of Public Health, State University of Paraiba, Campina Grande, Brazil.
Anastasios Kollias *Hypertension Center STRIDE-7, School of Medicine, Third Department of Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.
Peter H WhincupPopulation Health Research Institute, St George's, University of London, London, UK.
Lucia PacificoDepartment of Maternal and Child Health, Sapienza University of Rome, Rome, Italy.
Abel López-BermejoPediatric Endocrinology Research Group, Girona Biomedical Research Institute (IDIBGI), Salt, Spain.
Min ZhaoDepartment of Nutrition and Food Hygiene, School of Public Health, Shandong University, Jinan, China. zhaomin1986zm@126.com.
Miaobing ZhengInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
Bo XiDepartment of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. xibo2007@126.com.ORCID 0000-0003-0491-5585

Funding

National Natural Science Foundation of China 81673195National Natural Science Foundation of China 82173538
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is becoming prevalent in the pediatric population. The existing pediatric MetS definitions (e.g., the International Diabetes Federation (IDF) definition and the modified National Cholesterol Education Program (NCEP) definition) involve complex cut-offs, precluding fast risk assessment in clinical practice.We proposed a simplified definition for assessing MetS risk in youths aged 6-17 years, and compared its performance with two existing widely used pediatric definitions (the IDF definition, and the NCEP definition) in 10 pediatric populations from 9 countries globally (n = 19,426) using the receiver operating characteristic (ROC) curve analyses. In general, the total MetS prevalence of 6.2% based on the simplified definition was roughly halfway between that of 4.2% and 7.7% estimated from the IDF and NCEP definitions, respectively. The ROC curve analyses showed a good agreement between the simplified definition and two existing definitions: the total area under the curve (95% confidence interval) of the proposed simplified definition for identifying MetS risk achieved 0.91 (0.89-0.92) and 0.79 (0.78-0.81) when using the IDF or NCEP definition as the gold standard, respectively.The proposed simplified definition may be useful for pediatricians to quickly identify MetS risk and cardiometabolic risk factors (CMRFs) clustering in clinical practice, and allow direct comparison of pediatric MetS prevalence across different populations, facilitating consistent pediatric MetS risk monitoring and the development of evidence-based pediatric MetS prevention strategies globally.

Indexed as

Metabolic SyndromeAdolescentChildFemaleGlobal HealthHumansMalePrevalenceRisk AssessmentRisk FactorsROC CurveAdolescentCardiovascular risk factorsCentral obesityChildHypertensionMetabolic syndromeWaist-to-height ratio

Identifiers

PMID38715060
PMCPMC11077757

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.