Evidence map›Paper›PMID 29380428›Full record

ArticleJournal of clinical laboratory analysis2018

Impact of glucose and lipid markers on the correlation of calculated and enzymatic measured low-density lipoprotein cholesterol in diabetic patients with coronary artery disease.

Qiu-Ting Dong, Ying Gao, Na-Qiong Wu, Yuan-Lin Guo, Cheng-Gang Zhu, Sha Li, Hui-Hui Liu, Ye-Xuan Cao, Hui-Wen Zhang, Xi Zhao and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

13 authors at 1 institution in 1 country.

Qiu-Ting DongThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Ying GaoThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Na-Qiong WuThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Yuan-Lin GuoThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Cheng-Gang ZhuThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Sha LiThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Hui-Hui LiuThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Ye-Xuan CaoThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Hui-Wen ZhangThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Xi ZhaoThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Geng LiuThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Qian DongThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.
Jian-Jun LiThe Division of Dyslipidemia, State Key Laboratory of Coronary Artery Disease, National Centre for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fu Wai Hospital, Beijing, China.ORCID http://orcid.org/0000-0003-2536-4364
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsLow-density lipoprotein cholesterol (LDL-C) is widely estimated by Friedewald equation (FE) and Enzymatic test (ET), which are affected by several factors. The aim of this study was to observe the impact of diabetic lipid and glucose patterns on the correlation between FE LDL-C (F-LDL) and ET LDL-C (E-LDL) in patients with coronary artery disease (CAD). METHODS AND

resultsA total of 8155 CAD patients were consecutively enrolled and their lipid profiles were measured. The impacts of triglyceride (TG), glycosylated hemoglobin A1c (HbA1c), and high-density lipoprotein cholesterol (HDL-C) on the correlation of F-LDL and E-LDL were examined. The difference value (DV) between F-LDL and E-LDL was compared using ANOVA test. The CAD patients with DM were elder and had higher body mass index, plasma TG compared with those without DM (P < .05 separately). In the whole population, F-LDL was lower than E-LDL but showed a high correlation with E-LDL (r = .970, P = .000). Moreover, as the TG concentrations increased, the DV increased accordingly but the correlation between F-LDL and E-LDL decreased (P < .01). The similar trend was also found in both DM and non-DM patients comparing with different TG groups. However, in patients with DM, there was no significant difference of DV in different HbA1c groups or HDL-C concentrations (P > .05).

conclusionAlthough F-LDL might underestimate the value of LDL-C, the correlation between F-LDL and E-LDL was clinically acceptable (r = .97), suggesting the LDL-C values measured by two methods were similarly reliable in CAD patients with or without DM.

Indexed as

AgedAnalysis of VarianceBlood GlucoseCholesterol, LDLCoronary Artery DiseaseCross-Sectional StudiesDiabetes MellitusFemaleHumansLipidsMaleMiddle AgedRetrospective StudiesStatistics as TopicTriglyceridesBlood GlucoseCholesterol, LDLLipidsTriglyceridesdiabetes mellitusenzymatic testFriedewald equationLDL-Ctriglycerides

Identifiers

PMID29380428
PMCPMC6816917
OpenAlexW2793114706

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.