Evidence map›Paper›PMID 37424867›Full record

ArticleFrontiers in endocrinology2023

Lipid accumulation product is a better predictor of metabolic syndrome in Chinese adolescents: a cross-sectional study.

Zi-Yi Chen, Lei Liu, Xu-Xiu Zhuang, Yi-Cong Zhang, Ya-Nan Ma, Yang Liu, De-Liang Wen

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

7 authors.

Zi-Yi ChenInstitute of Health Sciences, China Medical University, Shenyang, Liaoning, China.
Lei LiuSchool of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China.
Xu-Xiu ZhuangInstitute of Health Sciences, China Medical University, Shenyang, Liaoning, China.
Yi-Cong ZhangInstitute of Health Sciences, China Medical University, Shenyang, Liaoning, China.
Ya-Nan MaSchool of Public Health, China Medical University, Shenyang, Liaoning, China.
Yang LiuInstitute of Health Sciences, China Medical University, Shenyang, Liaoning, China.
De-Liang WenInstitute of Health Sciences, China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Confirm and compare the degree of associations of non-traditional lipid profiles and metabolic syndrome (MetS) in Chinese adolescents, determine the lipid parameter with better predictive potential, and investigate their discriminatory power on MetS. Methods: Medical measurements, including anthropometric measurements and biochemical blood tests, were undergone among a total sample of 1112 adolescents (564 boys and 548 girls) aged from 13 to 18 years. Univariate and multivariate logistic regression analyses were applied for assessing the relationships between the levels of traditional/non-traditional lipid profiles and MetS. We performed Receiver Operating Characteristic (ROC) analyses to mensurate the effectiveness of lipid accumulation product (LAP) on the diagnosis of MetS. Meanwhile, areas under the ROC curve and the cut-off values were calculated for MetS and its components. Results: Univariate analysis showed that all our lipid profiles were closely associated with MetS (P< 0.05). LAP index showed the closest association with MetS than the other lipid profiles. Additionally, ROC analyses indicated that the LAP index showed sufficient capabilities to identify adolescents with MetS and its components. Conclusion: The LAP index is a simple and efficient tool to identify individuals with MetS in Chinese adolescents.

Indexed as

Lipid Accumulation ProductMetabolic SyndromeAdolescentBody Mass IndexCross-Sectional StudiesEast Asian PeopleFemaleHumansLipidsMaleLipidsadolescentlipidlipid accumulation productmetabolic syndromeobesity

Identifiers

PMID37424867
PMCPMC10326626

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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.