Evidence map›Paper›PMID 37850101›Full record

ArticleFrontiers in endocrinology2023

Association of novel lipid indicators with the risk of stroke among participants in Central China: a population-based prospective study.

Qin Huang, Li Yin, Zeyu Liu, Minping Wei, Jie Feng, Qing Huang, Yunhai Liu, Zunjing Liu, Jian Xia

Open access · goldAbstract 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 33 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

9 authors at 3 institutions in 1 country.

Qin HuangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Li YinDepartement of Chronic Disease, Hunan Provincial Center for Disease Control and Prevention, Changsha, China.
Zeyu LiuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Minping WeiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jie FengDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qing HuangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yunhai LiuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zunjing LiuDepartment of Neurology, Peking University People's Hospital, Beijing, China.
Jian XiaDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiangya Hospital Central South University · CNCentral South University · CNHunan Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several easily and inexpensively measured indicators of visceral adiposity dysfunction are currently available, but it remains unclear whether they are correlated with stroke risk in the community-dwelling population. We aimed to examine the longitudinal association of the triglyceridemic-waist phenotypes, the triglyceride glucose (TyG) index, as well as TyG-related indicators with stroke risk. Methods: In this study, we conducted a prospective cohort study in Hunan, a region located in Central China, where the prevalence of stroke is relatively high. We included a total of 20185 subjects aged ≥40 years between November 2017 and December 2018. Triglyceride glucose-body mass index (TyG-BMI) and triglyceride glucose-waist circumference (TyG-WC) were calculated as multiplying TyG index by BMI and WC, respectively. Triglyceride waist phenotypes were categorized into four phenotypes: HTGW (elevated triglyceride and enlarged WC), NTNW (normal triglyceride and normal WC); HTNW (high triglyceride and normal WC), and NTGW (normal triglyceride and enlarged WC). We constructed a multivariable Cox regression model to assess the association between these novel lipid indicators and the risk of stroke. Subgroup analysis was conducted to test the robustness of our research findings. ROC curve was used for assessing the predictive ability of different stroke risk indices. Results: After 2 years of follow- up, 135 participants experienced new stroke events. After adjusting for potential confounders, we found that participants with HTGW had higher likelihood of stroke (HR: 1.96, 95% CI: 1.21 to 3.16). However, we did not find significant associations for HTNW (HR: 1.42, 95% CI: 0.91 to 2.21) and NTGW (HR: 1.09, 95% CI 0.67 to 1.78). when compared to participants in the first TyG quartile, those in the fourth TyG quartile were associated with a 2.06-fold (95% CI: 1.22, 3.50) risk of stroke. Each 1-SD increase in TyG, TyG-BMI, and TyG-WC was associated with a higher risk of stroke, with adjusted HRs of 1.34 (95% CI: 1.11 to 1.61), 1.35 (95% CI: 1.14 to 1.59), and 1.23 (95% CI: 1.04 to 1.46), respectively. In subgroup analyses, those positive relationships appeared to be stronger among male participants with lower levels of physical activity and smoking. Conclusion: HTGW, along with higher levels of TyG and TyG-related indicators, were found to be associated with an elevated risk of stroke. HTGW and these novel lipid indicators might be reliable indicators to identify populations at elevated risk of stroke.

Indexed as

ObesityStrokeGlucoseHumansMaleProspective StudiesTriglyceridesGlucoseTriglyceridesmetabolic syndromestroketriglyceride glucose indextriglyceridemic-waist phenotypesvisceral adiposity dysfunction

Identifiers

PMID37850101
PMCPMC10577285
OpenAlexW4387252233

What Socratic holds

Textmetadata
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 Socratic graph.