Evidence map›Paper›PMID 27619340›Full record

ArticleLipids in health and disease2016

Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value.

Nannan Gao, Yong Yu, Bingchang Zhang, Zhongshang Yuan, Haiqing Zhang, Yongfeng Song, Meng Zhao, Jiadong Ji, Lu Liu, Chao Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  3. Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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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 1 country.

Nannan GaoDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China.
Yong YuDepartment of Sonography, Provincial Hospital affiliated to Shandong University, Jinan, Shandong, 250021, China.
Bingchang ZhangClinical Laboratory, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, 250021, China.
Zhongshang YuanDepartment of Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, 250012, China.
Haiqing ZhangDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China.
Yongfeng SongDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China.
Meng ZhaoDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China.
Jiadong JiDepartment of Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, 250012, China.
Lu LiuDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China.
Chao XuDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China. doctorxuchao@163.com.
Jiajun ZhaoDepartment of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021, Shandong, China. jjzhao@medmail.com.cn.
Shandong Provincial Hospital · CNShandong University · CNShandong Academy of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of cardiovascular disease has been increasing worldwide. As a common pathogenic risk factor, dyslipidemia played a great role in the incidence and progress of these diseases. We investigated to achieve accurate and up-to-date information on the prevalence of dyslipidemia and its associations with other lipid-related diseases in rural North China.

methodsUsing a complex, multistage, probability sampling design, we conducted a large-scale cross-sectional study of 8528 rural participants aged over 18 years in Shandong Province. Prevalence and characteristics of dyslipidemia were demonstrated. The odds ratios between dyslipidemia types and lipid-related diseases were further analyzed by logistic regression.

resultsAmong the overall population, 45.8 % suffered from dyslipidemia. The prevalence of lipid abnormality (including high and very high levels) was 18.6, 12.7, 9.8 and 12.7 % for total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol and triglycerides (TG), respectively. Among all participants with dyslipidemia, 23.9 % were aware, only 11.5 % were treated, 10.0 % were controlled. For subjects with dyslipidemia, the risk for non-alcoholic fatty liver disease (NAFLD) was highest with a 3.3-fold over that of non-dyslipidmia (OR = 3.30, P < 0.001); followed by hyperuricemia and diabetes mellitus (DM), while with 2-fold increase (OR = 1.99, P < 0.001; OR = 1.92, P < 0.001); with only 1.5-fold risk for atherosclerosis (AS) (OR = 1.47, P < 0.001). The presence of high cholesterol was mainly associated with AS, while abnormal TG was correlated with NAFLD and DM.

conclusionsDyslipidemia has become a serious public health issue in rural North China. The rapid increase of high TC and incremental risk of high TG may contribute to the epidemic of AS, NAFLD and DM. It is imperative to develop individualized prevention and treatment guidelines according to dyslipidemia phenotypes.

Indexed as

AdolescentAdultAgedAge FactorsAtherosclerosisCardiovascular DiseasesCholesterolDiabetes MellitusDyslipidemiasFemaleHumansLipidsLipoproteins, HDLMaleMiddle AgedRural PopulationCholesterolLipidsLipoproteins, HDLTriglyceridesDyslipdemiaLipoproteinsMetabolic diseasesPhenotypesRural China

Identifiers

PMID27619340
PMCPMC5020547
OpenAlexW2519794109

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.