Evidence map›Paper›PMID 33976344›Full record

ArticleScientific reports2021

Comparison of the triglyceride glucose index and blood leukocyte indices as predictors of metabolic syndrome in healthy Chinese population.

Hai-Yan Lin, Xiu-Juan Zhang, Yu-Mei Liu, Ling-Yun Geng, Li-Ying Guan, Xiao-Hong Li

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
9.6field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Hai-Yan LinHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Xiu-Juan ZhangHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Yu-Mei LiuHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Ling-Yun GengHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Li-Ying GuanHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Xiao-Hong LiHealth Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China. xiaohongly@hotmail.com.
Shandong Provincial Hospital · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triglyceride glucose (TyG) index and inflammatory markers are reported to have a positive association with metabolic syndrome (MetS). However, no previous study has assessed the value of TyG index and inflammatory markers as predictors of metabolic syndrome in the same study. This study looks at the comparison of the triglyceride index and blood leukocyte indices as predictors of metabolic syndrome in the Chinese population. The study cohort involved 1542 Chinese population without metabolic syndrome. The subjects underwent comprehensive routine health examination in 2011 and returned for a follow-up examination in 2016. Metabolic syndrome was defined according to Chinese Diabetes Society criteria, using body mass index for the replacement of waist circumference. TyG index, total leukocytes, neutrophils, lymphocytes, and neutrophil-to-lymphocyte ratio (NLR) were measured. Adjust d logistic models were used to assess the relationship between TyG index, blood leukocyte indices, and incident MetS. Receiver operating characteristic (ROC) curves were performed to determine the predictive value of TyG index and blood leukocyte indices for MetS. Results from multivariate logistic regression analysis showed that, in the adjusted model, the subjects with the highest quartile of TyG index and neutrophils had a 3.894- and 1.663-fold increased incidence of MetS (P < 0.0001 and P = 0.027), respectively. No significant association was observed between total leukocytes, lymphocytes, NLR with incident MetS. ROC analysis showed that the AUC of TyG index and neutrophils were 0.674 and 0.568 for incident MetS, respectively. TyG index rather than blood leukocyte indices may have the strongest predictive value in MetS development over a 5-year period.

Indexed as

Blood GlucoseAdultAsian PeopleFemaleHumansLeukocyte CountMaleMetabolic SyndromeMiddle AgedRisk AssessmentTriglyceridesBlood GlucoseTriglycerides

Identifiers

PMID33976344
PMCPMC8113526
OpenAlexW3162953125

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.