Evidence map›Paper›PMID 35717187›Full record

ArticleBMC endocrine disorders2022

Non-linear relationship between high-density lipoprotein cholesterol and incident diabetes mellitus: a secondary retrospective analysis based on a Japanese cohort study.

Changchun Cao, Haofei Hu, Xiaodan Zheng, Xiaohua Zhang, Yulong Wang, Yongcheng He

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 18 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.

Changchun Cao *Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6 Renmin Road, Dapeng New Distric, Shenzhen, 518000, Guangdong Province, China.
Haofei Hu *Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, Guangdong, China.
Xiaodan ZhengDepartment of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6 Renmin Road, Dapeng New Distric, Shenzhen, 518000, Guangdong Province, China.
Xiaohua ZhangDepartment of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6 Renmin Road, Dapeng New Distric, Shenzhen, 518000, Guangdong Province, China.
Yulong WangDepartment of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, No. 6 Renmin Road, Dapeng New Distric, Shenzhen, 518000, Guangdong Province, China. 992051016@qq.com.
Yongcheng HeDepartment of Nephrology, Shenzhen Hengsheng Hospital, No. 20 Yintian Road, Xixiang Street, Baoan District, Shenzhen, 518000, Guangdong Province, China. heyongcheng640815@126.com.
Shenzhen Bao'an District People's Hospital · CNShenzhen Second People's Hospital · CN

Funding

Discipline Construction Ability Enhancement Project of Shenzhen Municipal Health Commission SZXJ2017031Sanming Project of Medicine in Shenzhen SZSM202111010
6 · The paper itself

Abstract

BACKGROUND AND

objectiveHigh-density lipoprotein cholesterol (HDL-C) may be directly involved in glucose metabolism by enhancing insulin sensitivity and insulin secretion. This current study aimed to explore the association between HDL-C and the risk of diabetes mellitus (DM) in Japanese population.

methodsThis retrospective cohort study was based on a publicly available DRYAD dataset. We enrolled 15,388 Japanese participants who received medical examinations from 2004 to 2015 at Murakami Memorial Hospital. Our study selected HDL-C at baseline and incident DM during follow-up as the target independent variable and the dependent variable, respectively. Cox proportional-hazards regression was used to investigate the association between HDL-C and DM, generalized additive models to identify non-linear relationships.

resultsAfter adjusting for the demographic and clinical covariates, the result showed low HDL-C levels were associated with increased risk for diabetes (HR = 0.54, 95%CI (0.35, 0.82)). The results remained robust in a series of sensitive analysis. A non-linear relationship was detected between HDL-C and incident DM with an inflection point of HDL-C at 1.72 mmol/L (Log-likelihood ratio test P = 0.005). Subgroup analysis showed that a stronger association could be found in ex-smokers and current-smokers. The same trend was also seen in the community with hypertension (P for interaction = 0.010, HR = 1.324).

conclusionThis study demonstrates a negative and non-linear relationship between HDL-C and diabetes in the Japanese population. There is a threshold effect between HDL-C and diabetes. When HDL-C is lower than 1.72 mmol/L, the decreased HDL-C levels were associated with an increased risk for diabetes.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Cholesterol, HDLCohort StudiesHumansJapanRetrospective StudiesRisk FactorsTriglyceridesCholesterol, HDLTriglyceridesHigh-density lipoprotein cholesterolIncident diabetes mellitusNonlinearity

Identifiers

PMID35717187
PMCPMC9206738
OpenAlexW4283070938

What OpenQuestion holds

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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.