Evidence map›Paper›PMID 32616008›Full record

ArticleBMC nephrology2020

The association between dyslipidemia and the incidence of chronic kidney disease in the general Zhejiang population: a retrospective study.

Xudong Liang, Meiyu Ye, Mei Tao, Danna Zheng, Ruyi Cai, Yifan Zhu, Juan Jin, Qiang He

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  20. Genes, environment, and African ancestry in cardiometabolic disorders.Trends in endocrinology and metabolism: TEM · 2023
    Review
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

8 authors at 3 institutions in 1 country.

Xudong LiangDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China.
Meiyu YeDepartment of Nephrology, The Second Hosipital of Yinzhou, Ningbo, Zhejiang, 315192, P.R. China.
Mei TaoDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China.
Danna ZhengDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China.
Ruyi CaiDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China.
Yifan ZhuDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China.
Juan JinDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China.
Qiang HeDepartment of Nephrology, Zhejiang Provincial People's Hospital, No.158th, Shangtang Road, Xiacheng, Hangzhou, Zhejiang, 310014, P.R. China. qianghe1973@126.com.ORCID 0000-0003-3811-8226
Zhejiang Provincial People's Hospital · CNNingbo No. 2 Hospital · CNZhejiang Chinese Medical University · CN

Funding

Natural Science Foundation of Zhejiang Province LZ17H050001Natural Science Foundation of Zhejiang Province Y18H050024the Natural Science Foundation of Zhejiang Province LY16H050005the Project of Province and the Ministry WKJ-ZJ-1915the Project of Scientific Research Foundation of Chinese Medicine 2016ZQ007the Project of Scientific Research Foundation of Chinese Medicine 2017ZA010
6 · The paper itself

Abstract

backgroundAccording to the "lipid nephrotoxicity hypothesis", there is now significant research being conducted in this area. By studying the role of hyperlipidemia in chronic kidney disease in the general Zhejiang population, we aimed to explore the correlation between changes in blood lipid levels and chronic kidney disease.

methodsWe collected and analyzed clinical data from ordinary residents who participated in the annual comprehensive physical examination with no overt kidney disease in Zhejiang Provincial People's Hospital, China from January 2011 to December 2016. According to triglyceride, total cholesterol and low-density lipoprotein levels, participants were respectively divided into 4 groups. Statistical methods were used to evaluate the correlation between different blood lipid profiles and chronic kidney disease.

resultsFive thousand one hundred eighty-three participants were included in our study. During the six-year follow-up period, 227 participants (4.4%) developed chronic kidney disease. The odds ratio for incident chronic kidney disease was 3.14 (95%CI: 1.53-6.43) in Q3, 3.84 (95%CI: 1.90-7.76) in Q4 according to the total cholesterol group and 1.17 (95%CI: 1.04-1.32) in Q3, 1.40 (95%CI: 1.11-2.48) in Q4 according to the low-density lipoprotein group, respectively, after multivariable-adjusted analyses. According to the triglyceride grouping, the odds ratio for incident chronic kidney disease was 2.88 (95%CI: 1.29-6.43) in Q2, 2.92 (95%CI: 1.44-6.57) in Q3 and 3.08 (95%CI: 1.11-6.69) in Q4, after multivariable-adjusted analyses.

conclusionIncreased triglycerides and high levels of total cholesterol and low-density lipoprotein were independently associated with an increased likelihood of estimated glomerular filtration rate (eGFR) decline and development of incident chronic kidney disease in the general Zhejiang population.

Indexed as

Glomerular Filtration RateAdultAgedChinaCholesterolDyslipidemiasFemaleHumansHypertensionIncidenceLipoproteins, LDLMaleMiddle AgedObesityOverweightRenal Insufficiency, ChronicCholesterolLipoproteins, LDLTriglycerideseGFREpidemiologyLipid profilesRenal function

Identifiers

PMID32616008
PMCPMC7330963
OpenAlexW3039740477

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.