Evidence map›Paper›PMID 35685216›Full record

ArticleFrontiers in endocrinology2022

Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults.

Yaling Li, Rui Zheng, Shuting Li, Ruyi Cai, Feihua Ni, Huiyan Zheng, Ruying Hu, Ting Sun

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 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.

Yaling LiDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Rui ZhengDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shuting LiDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Ruyi CaiDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Feihua NiDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Huiyan ZhengDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Ruying HuDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Ting SunDepartment Health Management Center, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the association between anthropometric indexes [lipid accumulation products (LAP), visceral obesity index (VAI), triglyceride and glucose index (TyG) and waist triglyceride index (WTI)] and metabolic syndrome (MetS) in a representative sample of American adult population surveyed by National Health and Nutrition Examination Survey (NHANES). Methods: Cross-sectional data from the NHANES were used. Participants were adults aged 18-80 y from 1996-2006. MetS were defined by the updated National Cholesterol Education Program/Adult Treatment Panel III criteria (NCEP-ATP III) for Americans. Receiver operating characteristic (ROC) curve was drawn and the areas under the curve (AUC) were used to assess the ability of these indexes in screening MetS. Statistical differences among the AUC values of these indexes were compared. The association between the anthropometric indexes and MetS was investigated using weighted multivariable-adjusted logistic regression. Results: 560 (35.2%) males and 529 (26.4%) females were diagnosed with MetS. LAP was the strongest predictor of MetS for men (AUC=0.87, 95% CI 0.85-0.89), and also was the strongest for women [AUC=0.85, 95% confidence interval (CI) 0.83-0.86], according to the ROC curve analysis. In men, differences in AUC values between LAP and other anthropometric indicators were also significant (all Conclusion: The present study indicated that LAP is a better predictor in the clinical setting for identifying individuals with MetS in the American adult population.

Indexed as

Lipid Accumulation ProductMetabolic SyndromeAdultCross-Sectional StudiesFemaleHumansMaleNutrition SurveysTriglyceridesUnited StatesTriglyceridesadiposity index (VAI)anthropometric indexeslipid accumulation product (LAP)metabolic syndrometriglyceride and glucose index (TyG)waist-triglyceride index (WTI)

Identifiers

PMID35685216
PMCPMC9171391

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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.