Evidence map›Paper›PMID 34273996›Full record

ArticleLipids in health and disease2021

Association between high-density lipoprotein cholesterol and type 2 diabetes mellitus among Chinese: the Beijing longitudinal study of aging.

Xue Cao, Zhe Tang, Jie Zhang, Haibin Li, Manjot Singh, Fei Sun, Xiaochun Li, Changwei Li, Youxin Wang, Xiuhua Guo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Annals of medicine · 2025
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  6. Observational
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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

11 authors at 3 institutions in 3 countries.

Xue Cao *Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Zhe Tang *Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Jie ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Haibin LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Manjot SinghSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.
Fei SunBeijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Xiaochun LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Changwei LiDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, 30602, USA.
Youxin WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
Deqiang ZhengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China. dqzheng@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-5659-5045
Capital Medical University · CNEdith Cowan University · AUTulane University · US

Funding

National Natural Science Foundation of China 81530087National Natural Science Foundation of China 81703317Natural Science Foundation of Beijing Municipality 7202011
6 · The paper itself

Abstract

backgroundSome previous studies on different populations have yielded inconsistent findings with respect to the relationship between levels of high-density lipoprotein cholesterol (HDL-C) and future type 2 diabetes mellitus (T2DM) incidence. This study was designed to gain further insight into this relationship through a cohort study with a 25-year follow-up duration.

methodsIn total, 1462 individuals that were 55 years of age or older and were free of T2DM at baseline were enrolled in the present study. T2DM incidence among this study population was detected through self-reported diagnoses or the concentration of fasting plasma glucose. The data were derived from nine surveys conducted from 1992 to 2017. The correlation between HDL-C levels and the T2DM risk was assessed through Cox proportional-hazards model and proportional hazards model for the sub-distribution with time-dependent variables.

resultsOver the follow-up period, 120 participants were newly diagnosed with new-onset T2DM. When research participants were separated into four groups on the basis for quartiles of their levels of HDL-C measured at baseline, and incidence of diabetes declined with higher baseline HDL-C levels at 12.60, 9.70, 5.38, and 5.22 per 1000 person-years, respectively. Adjusted hazard ratios (HRs) were 0.98 (95% confidence interval [CI]: 0.62-1.55), 0.48 (95% CI: 0.27-0.85) and 0.44 (95% CI: 0.25-0.80) for individuals with HDL-C levels within the 1.15-1.39, 1.40-1.69, and ≥ 1.70 mmol/L ranges relative to participants with HDL-C levels < 1.15 mmol/L. Multiple sensitivity analyses similarly revealed reduced risk of diabetes incidence with increased HDL-C levels. Incorporating the levels of HDL-C into a multivariate model significantly enhanced the overall power of the predictive model (P values were 0.0296, 0.0011, respectively, for 5- and 10-year risk of diabetes).

conclusionsLevels of HDL-C were independently and negatively associated with the risk of the new-onset T2DM among middle-aged and elderly Chinese.

Indexed as

AgedBeijingBlood GlucoseChinaCholesterol, HDLDiabetes Mellitus, Type 2FemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsBlood GlucoseCholesterol, HDLCox proportional-hazards modelHazard ratioHigh-density lipoprotein cholesterolTime-dependent variableType 2 diabetes mellitus

Identifiers

PMID34273996
PMCPMC8286580
OpenAlexW3172914210

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.