Evidence map›Paper›PMID 36936898›Full record

ArticleFrontiers in endocrinology2022

Visit-to-visit variability in triglyceride-glucose index and diabetes: A 9-year prospective study in the Kailuan Study.

Xianxuan Wang, Yanjuan Chen, Zegui Huang, Zefeng Cai, Xinran Yu, Zekai Chen, Linyao Li, Guanzhi Chen, Kuangyi Wu, Huancong Zheng and 2 more

Open access · goldFull text 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 23 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

12 authors at 4 institutions in 2 countries.

Xianxuan WangDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Yanjuan ChenDepartment of Endocrinology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Zegui HuangDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Zefeng CaiDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xinran YuDepartment of Anesthesiology, North China University of Science and Technology, Tangshan, China.
Zekai ChenDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Linyao LiDepartment of Plastic Surgery, Chongqing Huamei Plastic Surgery Hospital, Chongqing, China.
Guanzhi ChenSecond Clinical College, China Medical University, Shenyang, China.
Kuangyi WuDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Huancong ZhengDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Youren ChenDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Shantou University · CNUniversity Medical Center Groningen · NLNorth China University of Science and Technology · CNPlastic Surgery Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Instruction/Aims: It is unknown whether variability in the triglyceride-glucose index (TyG-index) is associated with the risk of diabetes. Here, we sought to characterize the relationship between TyG-index variability and incident diabetes. Methods: We performed a prospective study of 48,013 participants in the Kailuan Study who did not have diabetes. The TyG-index was calculated as ln [triglyceride (TG, mg/dL) concentration × fasting blood glucose concentration (FBG, mg/dL)/2]. The TyG-index variability was assessed using the standard deviation (SD) of three TyG-index values that were calculated during 2006/07, 2008/09, and 2010/11. We used the Cox proportional hazard models to analyze the effect of TyG-index variability on incident diabetes. Results: A total of 4,055 participants were newly diagnosed with diabetes during the study period of 8.95 years (95% confidence interval (CI) 8.48-9.29 years). After adjustment for confounding factors, participants in the highest and second-highest quartiles had significantly higher risks of new-onset diabetes Conclusions: A substantial fluctuation in TyG-index is associated with a higher risk of diabetes in the Chinese population, implying that it is important to maintain a normal and consistent TyG-index.

Indexed as

Diabetes Mellitus, Type 2GlucoseBlood GlucoseHumansProspective StudiesRisk FactorsTriglyceridesBlood GlucoseGlucoseTriglyceridescohort studydiabetes mellitusinsulin resistancetriglyceride-glucose indexvariability

Identifiers

PMID36936898
PMCPMC10020697
OpenAlexW4311079876

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read26
table measurements read4
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.