Evidence map›Paper›PMID 34819918›Full record

ArticleFrontiers in endocrinology2021

Tri-Ponderal Mass Index Reference Values for Screening Metabolic Syndrome in Children and Adolescents: Results From Two National-Representative Cross-Sectional Studies in China and America.

Xijie Wang, Yanjun Chen, Jun Ma, Bin Dong, Yanhui Dong, Zhiyong Zou, Yinghua Ma, Luke Arnold, Wannian Liang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Xijie WangVanke School of Public Health, Tsinghua University, Beijing, China.
Yanjun ChenClinical Nutrition Department, People's Hospital of Ningxia Hui Autonomous Region Health Management Center, Yinchua, China.
Jun MaInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Bin DongInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Yanhui DongInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Zhiyong ZouInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Yinghua MaInstitute of Child and Adolescent Health & School of Public Health, Peking University, Beijing, China.
Luke ArnoldDepartment of Commissioning, South Western Sydney Primary Health Network, Campbelltown, NSW, Australia.
Wannian LiangVanke School of Public Health, Tsinghua University, Beijing, China.
Peking University · CNThe Fourth People's Hospital of Ningxia Hui Autonomous Region · CNTsinghua University · CNVanke (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To ascertain the possible cut point of tri-ponderal mass index (TMI) in discriminating metabolic syndrome (MetS) and related cardio-metabolic risk factors in Chinese and American children and adolescents. Methods: A total of 57,201 Chinese children aged 7-18 recruited in 2012 and and 10,441 American children aged 12-18 from National Health and Nutrition Examination Survey (NHANES 2001-2014) were included to fit TMI percentiles. Participants were randomly assigned to a derivation set (75%) and validation set (25%). The cut points of TMI with the lowest misclassification rate under the premise of the highest area under curves (AUC) were selected for each sex, which were additionally examined in the validation set. All of data analysis was conducted between September and December in 2019. Results: TMI showed good capacity on discriminating MetS, with AUC of 0.7658 (95% CI: 0.7544-0.7770) to 0.8445 (95% CI: 0.8349-0.8537) in Chinese and 0.8871 (95% CI: 0.8663-0.9056) to 0.9329 (95% CI: 0.9166-0.9469) in American children. The optimal cut points were 14.46 kg/m Conclusions: A sex- and ethnicity- specific single cut point of TMI could be used to distinguish MetS and elevated risk of cardio-metabolic factors in children and adolescents.

Indexed as

Body Mass IndexAdolescentChildChinaCross-Sectional StudiesFemaleHumansMaleMass ScreeningMetabolic SyndromePediatric ObesityReference ValuesUnited Statescardiovascular riskchild and adolescent healthhealth screeningmetabolic syndrometri-ponderal mass index

Identifiers

PMID34819918
PMCPMC8606676
OpenAlexW3214429613

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.