Evidence map›Paper›PMID 34385979›Full record

ArticleFrontiers in endocrinology2021

Performance of Two Novel Obesity Indicators for the Management of Metabolic Syndrome in Young Adults.

Xiaoli Liu, Chunpeng Ma, Fuzai Yin, Rui Wang, Qiang Lu, Na Lu, Chunming Ma

Abstract 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

7 authors.

Xiaoli LiuDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China.
Chunpeng MaDepartment of Cardiology, The First Hospital of Qinhuangdao, Qinhuangdao, China.
Fuzai YinDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China.
Rui WangDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China.
Qiang LuDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China.
Na LuDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China.
Chunming MaDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a pathophysiological change based on the abnormal metabolism of many substances. The study aims to investigate the performance of visceral adiposity index (VAI) and lipid accumulation product (LAP) of MetS in young adults. Methods: 448 young adults aged between 19 and 24 years old in Qinhuangdao had been included in this cross-sectional study. Receiver operating characteristic (ROC) curve analyses were used to assess the accuracy of these two obesity indicators for MetS. Results: The prevalence of MetS was 2.0%. In male subjects, LAP had the highest area under the ROC curve (AUC) value (AUC = 0.963), followed by VAI (AUC = 0.937). In female subjects, LAP also had the highest AUC value (AUC = 0.931), followed by VAI (AUC = 0.861). No significant difference was found between the two obesity indicators ( Conclusion: The two obesity indicators were valuable for the screening of MetS in young adults, and LAP was the simpler of the two.

Indexed as

Health Status IndicatorsAdiposityAdultArea Under CurveChinaCross-Sectional StudiesFemaleHumansMaleMass ScreeningMetabolic SyndromeObesityObesity, AbdominalPredictive Value of TestsPrognosisROC Curvecross-sectional studylipid accumulation productmetabolic syndromevisceral adiposity indexyoung adults

Identifiers

PMID34385979
PMCPMC8352792

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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.