Evidence map›Paper›PMID 32205325›Full record

ArticleBMJ open diabetes research & care2020

Association between the triglyceride to high-density lipoprotein cholesterol ratio and the risk of type 2 diabetes mellitus among Chinese elderly: the Beijing Longitudinal Study of Aging.

Deqiang Zheng, Haibin Li, Feiling Ai, Fei Sun, Manjot Singh, Xue Cao, Jiajia Jiang, Yan He, Zhe Tang, Xiuhua Guo

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  12. Correlation analysis of diabetes based on Copula.Frontiers in endocrinology · 2024
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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

10 authors at 2 institutions in 2 countries.

Deqiang ZhengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.ORCID 0000-0002-5659-5045
Haibin LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Feiling AiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Fei SunBeijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, China.
Manjot SinghSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
Xue CaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Jiajia JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yan HeDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.ORCID 0000-0002-8586-075X
Zhe TangBeijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, China statguo@ccmu.edu.cn tangzhe@sina.com.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China statguo@ccmu.edu.cn tangzhe@sina.com.ORCID 0000-0001-6657-6940
Capital Medical University · CNEdith Cowan University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTime-dependent covariates are generally available as longitudinal data were collected periodically in the cohort study. To examine whether time-dependent triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio could predict the future risk of type 2 diabetes mellitus (T2DM) and assess its potential impact on the risk of T2DM incidence. RESEARCH DESIGN AND

methodsThis study enrolled 1460 participants without T2DM aged 55 or above in 1992 in the Beijing Longitudinal Study of Aging during 25 years. The questionnaire data were collected in nine surveys from 1992 to 2017. Physical examination and blood laboratory tests including TG and HDL-C concentrations were measured in five surveys. Incident T2DM cases were confirmed via a self-reported history of T2DM or the fasting plasma glucose level.

results119 new cases of T2DM were identified. In the Cox regression analysis with time-dependent TG/HDL-C ratios and covariates, the adjusted hazard ratios (95% confidence interval) of T2DM incidence were 1.90 (1.12 to 3.23), 2.75 (1.58 to 4.80) and 2.84 (1.69 to 4.77), respectively, for those with TG/HDL-C ratios (both TG and HDL-C were expressed in millimole per liter) in the ranges of 0.87-1.30, 1.31-1.74 and ≥1.75, compared with individuals with TG/HDL-C ratios <0.87. The similar results of subdistribution hazard ratios were obtained by performing the Fine-Gray model with time-dependent TG/HDL-C ratios. This positive association and the statistically significant trend with increased risk of T2DM incidence in the three categories of elevated TG/HDL-C ratio was confirmed by multiple sensitivity analyses. Furthermore, the T2DM discriminatory power of TG/HDL-C ratio combining with other risk factors was moderately high.

conclusionsWe found that time-dependent TG/HDL-C ratios were positively associated with the risk of T2DM risk. The elevated TG/HDL-C ratios increased the future risk of T2DM incidence. Lowering the TG/HDL-C ratio could assist in the prevention of diabetes for older adults.

Indexed as

Diabetes Mellitus, Type 2AgedAgingBeijingChinaCholesterol, HDLCohort StudiesHumansLongitudinal StudiesTriglyceridesCholesterol, HDLTriglyceridesassociation analysisHDL cholesteroltriglyceridestype 2 diabetes

Identifiers

PMID32205325
PMCPMC7206911
OpenAlexW3012582471

What OpenQuestion holds

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LicenceCC BY-NC
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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.