Evidence map›Paper›PMID 34127061›Full record

ArticleDiabetology & metabolic syndrome2021

Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis.

Yuan Jiang, Yalan Dou, Hongyan Chen, Yi Zhang, Xiaotian Chen, Yin Wang, Myanca Rodrigues, Weili Yan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Yuan Jiang *Department of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China.
Yalan Dou *Department of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China.
Hongyan ChenDepartment of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China.
Yi ZhangDepartment of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China.
Xiaotian ChenDepartment of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China.
Yin WangDepartment of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China.
Myanca RodriguesHealth Research Methodology Graduate Program, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Weili YanDepartment of Clinical Epidemiology and Clinical Trial Unit, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, 201102, People's Republic of China. yanwl@fudan.edu.cn.ORCID http://orcid.org/0000-0002-7633-7449

Funding

Education and Scientific Research Project of Shanghai (CN) HJTY-2018-B01Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Disease 2018RU002Shanghai Health Commission of Health Industry Clinical Research Project 20194Y0209
6 · The paper itself

Abstract

objectiveTo provide the latest evidence of performance and robustness of waist-to-height ratio (WHtR) in discriminating clusters of cardiometabolic risk factors (CMRs) and promote WHtR in routine primary health care practice in children, a meta-analysis was used.

methodsSearches was performed in eight databases from inception to July 03, 2020. Inclusion criteria were: (1) observational study, (2) children and adolescents, (3) provided WHtR measurements, (4) had CMRs as outcomes, and (5) diagnostic studies. Exclusion criteria were: (1) non-original articles, (2) unable to extract 2 × 2 contingency tables, (3) not in English or Chinese language, (4) populations comprising clinical patients, or (5) duplicate articles. WHtR cutoff points, 2 × 2 contingency tables were extracted from published reports. Outcomes included: CMR clusters of at least three CMRs (CMR

resultsFifty-three observational studies were included. The AUSROC reached 0.91 (95% CI: 0.88-0.93), 0.85 (95% CI: 0.81, 0.88) and 0.75 (95% CI: 0.71, 0.79) for CMR

conclusionsWHtR shows good and robust performance in identifying CMRs clustering across racial populations, suggesting its promising utility in public health practice globally.

Indexed as

Cardiometabolic riskDiagnostic testMeta-analysisPaediatric populationWaist-to-height ratio

Identifiers

PMID34127061
PMCPMC8201900

What OpenQuestion holds

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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.