Evidence map›Paper›PMID 34838070›Full record

ArticleLipids in health and disease2021

Associations of visit-to-visit variabilities and trajectories of serum lipids with the future probability of type 2 diabetes mellitus.

Qian Sun, Jingchao Liu, Lei Wu, Yue Sun, Jianrong Jin, Sudan Wang, Jing Wu, Yang Jing, Hui Zhou, Chen Dong

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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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 1 institution in 1 country.

Qian Sun *Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China.
Jingchao Liu *Suzhou Wuzhong Centers for Disease Control and Prevention, Soochow, China.
Lei Wu *Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China.
Yue SunDepartment of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China.
Jianrong JinSuzhou Wuzhong Centers for Disease Control and Prevention, Soochow, China.
Sudan WangDepartment of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China.
Jing WuDepartment of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China.
Yang JingSuzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China.
Hui ZhouSuzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China. 4146905@qq.com.
Chen DongDepartment of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China. cdong@suda.edu.cn.
Soochow University · CN

Funding

Key technologies of prevention and control of major diseases and infectious diseases in Suzhou City Gwzx201804 and Gwzx201907, KJXW2020081National Natural Science Foundation of China No. 81773507, 82173594The medicine research program from Jiangsu commission of health Z2019011
6 · The paper itself

Abstract

backgroundSerum lipid abnormalities are generally considered as a major risk factor for type 2 diabetes mellitus (T2DM). However, evidence for the effect of long-term serum lipid fluctuations on future T2DM probability remains limited.

methodsA total of 4475 nondiabetic participants who underwent annual health examinations between 2010 and 2013 were followed for the subsequent 5-year risk of T2DM. The Cox proportional hazards model was performed to evaluate the associations of visit-to-visit variabilities and trajectories of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c) with T2DM probability.

resultsDuring the five-year follow-up, 223 newly developed T2DM cases were identified. Compared with the "Low" TG trajectory, "Moderate" and "Moderate-High" TG trajectories were significantly associated with T2DM incidence, with adjusted hazard ratios (HRs) and 95 % confidence intervals (CIs) of 1.51 (1.12-2.03) and 2.55 (1.62-4.03), respectively. Additionally, participants in the third and fourth quartiles of TG/standard deviation (SD) were associated with increased T2DM probability when compared with those in the lowest quartile. After excluding individuals with prediabetes, participants with "Moderate-High" TG trajectory still had a 2.43-fold greater risk of T2DM compared with those with "Low" TG trajectory (95 % CI: 1.28-4.63). In addition, compared with participants in "Low" HDL-c trajectory, the future T2DM probability was significantly reduced in those with "Moderate" and "High" HDL-c trajectories, with HR (95 % CI) of 0.52 (0.37-0.72) and 0.38 (0.18-0.80), respectively. After excluding individuals with prediabetes, the "Moderate" HDL-c trajectory remained associated with decreased T2DM probability when compared with "Low" HDL-c trajectory (HR: 0.55, 95 % CI: 0.35-0.88). However, the incidence of T2DM was not associated with the long-term fluctuations of TC and LDL-c.

conclusionsLong-term visit-to-visit variability of TG, and the change trajectories of TG and HDL-c were significantly associated with future T2DM probability. Moreover, these associations were not affected after excluding individuals with prediabetes.

Indexed as

CholesterolDiabetes Mellitus, Type 2FemaleHumansLipidsLipoproteins, HDLLipoproteins, LDLMaleMiddle AgedProbabilityProportional Hazards ModelsRisk FactorsTriglyceridesCholesterolLipidsLipoproteins, HDLLipoproteins, LDLTriglyceridesAssociationSerum lipidsTrajectoryType 2 diabetes mellitusVisit-to-visit variability

Identifiers

PMID34838070
PMCPMC8627625
OpenAlexW3217183597

What OpenQuestion 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 OpenQuestion graph.