Evidence map›Paper›PMID 32245423›Full record

ArticleBMC nephrology2020

Prevalence and risk factors of chronic kidney disease and diabetic kidney disease in a central Chinese urban population: a cross-sectional survey.

Jia-Yu Duan, Guang-Cai Duan, Chong-Jian Wang, Dong-Wei Liu, Ying-Jin Qiao, Shao-Kang Pan, Deng-Ke Jiang, Yong Liu, Zi-Hao Zhao, Lu-Lu Liang and 2 more

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 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
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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

12 authors at 2 institutions in 1 country.

Jia-Yu DuanDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Guang-Cai DuanDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Chong-Jian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Dong-Wei LiuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Ying-Jin QiaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Shao-Kang PanDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Deng-Ke JiangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Yong LiuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Zi-Hao ZhaoDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Lu-Lu LiangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Fei TianDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China.
Zhang-Suo LiuDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Research Institute of Nephrology, Zhengzhou University, Jianshe Road No.1, Zhengzhou, 450052, Henan, People's Republic of China. zhangsuoliu@zzu.edu.cn.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

Key Technologies Research and Development Program 2016YFC1305404Pathogenesis & Precision diagnosis and treatment of Chronic Kidney Disease 182101510002Science and Technology Huimin Project of Henan Province 162207310001
6 · The paper itself

Abstract

backgroundThis study was conducted to evaluate and update the current prevalence of and risk factors for chronic kidney disease (CKD) and diabetic kidney disease (DKD) in a central Chinese urban population.

methodsFrom December 2017 to June 2018, a total of 5231 subjects were randomly enrolled from 3 communities in 3 districts of Zhengzhou. CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min.1.73m

resultsThe overall adjusted prevalence of CKD was 16.8% (15.8-17.8%) and that of DKD was 3.5% (3.0-4.0%). Decreased renal function was detected in 132 participants (2.9, 95% confidence interval [CI]: 2.5-3.2%), whereas albuminuria was found in 858 participants (14.9, 95% CI: 13.9-15.9%). In all participants with diabetes, the prevalence of reduced eGFR was 6.3% (95% CI = 3.9-8.6%) and that of albuminuria was 45.3% (95% CI = 40.4-50.1%). The overall prevalence of CKD in participants with diabetes was 48.0% (95% CI = 43.1-52.9%). The results of the binary and ordinal logistic regression indicated that the factors independently associated with a higher risk of reduced eGFR and albuminuria were older age, sex, smoking, alcohol consumption, overweight, obesity, diabetes, hypertension, dyslipidemia and hyperuricemia.

conclusionsOur study shows the current prevalence of CKD and DKD in residents of Central China. The high prevalence suggests an urgent need to implement interventions to relieve the high burden of CKD and DKD in China.

Indexed as

Diabetic NephropathiesRenal Insufficiency, ChronicChinaCreatinineCross-Sectional StudiesFemaleGlomerular Filtration RateHumansKidney Function TestsLife StyleMaleMedical History TakingMiddle AgedRisk AssessmentRisk FactorsUrban PopulationCreatinineChronic kidney diseaseDiabetic kidney diseaseOrdinal logistic regressionPrevalence

Identifiers

PMID32245423
PMCPMC7118942
OpenAlexW3014973326

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.