Evidence map›Paper›PMID 32199459›Full record

ArticleLipids in health and disease2020

The predictive study of the relation between elevated low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and mortality in peritoneal dialysis.

Tong Lin, Xi Xia, Jing Yu, Yagui Qiu, Chunyan Yi, Jianxiong Lin, Haiping Mao, Xiao Yang, Fengxian Huang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% 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, 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

9 authors at 3 institutions in 1 country.

Tong LinDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Xi XiaDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Jing YuDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Yagui QiuDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Chunyan YiDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Jianxiong LinDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Haiping MaoDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Xiao YangDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China.
Fengxian HuangDepartment of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 58th, Zhongshan Road II, Guangzhou, 510080, People's Republic of China. hfxyl@163.net.
National Health and Family Planning Commission · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

Guangzhou Municipal Program of Science and Technology grant 201704020167National Key R&D Program of China grant 2016YFC0906101National Natural Science Foundation for Young Scholars of China grant 81700718National Natural Science Foundation of China grant 81870575Natural Science Foundation of Guangdong Province grant 2017A030310044Operational Grant of Guangdong Provincial Key Laboratory grant 2017B030314019Science and Technology Program of Guangdong Province grant 2017A050503003
6 · The paper itself

Abstract

backgroundThe low-density lipoprotein cholesterol to high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio constitutes a strong risk predictor of cardiovascular events. However, the association between this ratio and cardiovascular death in peritoneal dialysis (PD) patients is uncertain. The study aimed to investigate whether a high LDL-C/HDL-C ratio could predict both cardiovascular and all-cause mortalities in patients on PD.

methodsA total of 1616 incident patients on PD included from January 1, 2006 to December 31, 2013 were followed up with until 31 December 2018 in this single-center prospective cohort study. Participants were divided into three categories according to LDL-C/HDL-C ratio tertile. The primary endpoint was cardiovascular mortality; the secondary endpoint was all-cause mortality.

resultsThe mean age of the study cohort was 47.5 years and the mean body mass index (BMI) was 21.6 kg/m

conclusionsA high LDL-C/HDL-C ratio is an independent risk factor for both cardiovascular and all-cause mortalities among PD patients.

Indexed as

Peritoneal DialysisAdultBody Mass IndexCardiovascular DiseasesCholesterolCholesterol, HDLCholesterol, LDLFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsTriglyceridesCholesterolCholesterol, HDLCholesterol, LDLTriglyceridesAll-cause mortalityCardiovascular mortalityLow-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (LDL-C/HDL-C)Peritoneal dialysis

Identifiers

PMID32199459
PMCPMC7085176
OpenAlexW3012950548

What OpenQuestion holds

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LicenceCC BY
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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.