Evidence map›Paper›PMID 26770556›Full record

ArticleInternational journal of clinical and experimental medicine2015

Serum lipid profiles, the prevalence of dyslipidemia and the risk factors in two isolated Chinese minorities.

Pei-Juan Liao, Rui-Bin Xie, Rui-Xing Yin, Dai-Xun Wei, Jian Huang, Feng Huang, Hui Li, Wei-Xiong Lin, Jin-Zhen Wu, Shang-Ling Pan

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Association between theBioscience reports · 2018
    Article
  6. The effect ofOncotarget · 2017
    Article
  7. Article
  8. Article
  9. 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 2 institutions in 1 country.

Pei-Juan LiaoDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University Nanning, China.
Rui-Bin XieDepartment of Cardiology, Hezhou People's Hospital Hezhou, China.
Rui-Xing YinDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University Nanning, China.
Dai-Xun WeiThe Disease Control and Prevention Center Luocheng Mulao Autonomous County, Hechi, China.
Jian HuangDepartment of General Practice, Jiangping Health Station of Dongxing City Dongxing, China.
Feng HuangDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University Nanning, China.
Hui LiClinical Laboratory of The Affiliated Cancer Hospital, Guangxi Medical University Nanning, China.
Wei-Xiong LinDepartment of Molecular Genetics, Medical Scientific Research Center, Guangxi Medical University Nanning, China.
Jin-Zhen WuDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University Nanning, China.
Shang-Ling PanDepartment of Pathophysiology, School of Premedical Sciences, Guangxi Medical University Nanning, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both Jing and Mulao nationalities are the isolated minorities in China. Little is known about the prevalence of dyslipidemia between the two ethnic groups. Therefore, the aim of this study was to compare the differences in serum lipid profiles, the prevalence of dyslipidemia and their risk factors between the Jing and Mulao populations. A cross-sectional study of dyslipidemia was conducted in Dongxing city, Guangxi, China, during Dec 2011 and Jan 2012. A total of 1254 subjects of Jing and 1251 participants of Mulao were surveyed by a stratified randomized sampling. Information on demography, diet and lifestyle was collected with standardized questionnaire. Serum lipid levels were detected using the commercially available kits. The levels of low-density lipoprotein cholesterol (LDL-C), apolipoprotein (Apo) A1, and the ratio of ApoA1 to ApoB were lower but the levels of ApoB were higher in Jing than in Mulao (P < 0.001 for all). The prevalence of hypertriglyceridemia (32.38% vs. 24.38%), high ApoB (35.25% vs. 15.35%) and low ApoA1/ApoB ratio (22.65% vs. 16.87%) was higher and low high-density lipoprotein cholesterol (0.48% vs. 2.16%), high LDL-C (17.54% vs. 40.53%) and low ApoA1 (5.98% vs. 11.43%) was lower in Jing than in Mulao (P < 0.001 for all). The risk factors for serum lipid parameters and hyperlipidemia were different between the two ethnic groups. Serum lipid profiles, the prevalence of dyslipidemia and their risk factors are different between the Jing and Mulao populations. These differences may result from the combined effects of different diet, lifestyle, and genetic factors.

Indexed as

apolipoproteinsdyslipidemiaLipidsprevalencerisk factors

Identifiers

PMID26770556
PMCPMC4694456
OpenAlexW2463267053

What OpenQuestion holds

Textmetadata
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.