Evidence map›Paper›PMID 37981642›Full record

ArticleScientific reports2023

Global burden and influencing factors of chronic kidney disease due to type 2 diabetes in adults aged 20-59 years, 1990-2019.

Dandan Xie, Tianpeng Ma, Haoliang Cui, Jing Li, Aihua Zhang, Zhifeng Sheng, Yiqiang Xie

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
10.5field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  17. Pillar Risk-Based Treatment for Chronic Kidney Disease in People With Type 2 Diabetes: A Narrative Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
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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

7 authors at 3 institutions in 1 country.

Dandan Xie *College of Traditional Chinese Medicine, International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, No. 3, Xueyuan Road, Haikou, 571199, Hainan, China.
Tianpeng Ma *College of Traditional Chinese Medicine, International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, No. 3, Xueyuan Road, Haikou, 571199, Hainan, China.
Haoliang Cui *School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, China.
Jing LiNational Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Health Management Center and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, No. 139, Renmin Road, Changsha, 410011, Hunan, China.
Aihua ZhangCollege of Traditional Chinese Medicine, International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, No. 3, Xueyuan Road, Haikou, 571199, Hainan, China. aihuatcm@163.com.
Zhifeng ShengNational Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Health Management Center and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, No. 139, Renmin Road, Changsha, 410011, Hunan, China. shengzhifeng@csu.edu.cn.
Yiqiang XieCollege of Traditional Chinese Medicine, International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, No. 3, Xueyuan Road, Haikou, 571199, Hainan, China. xieyiqiang@hainmc.edu.cn.
Hainan Medical University · CNSecond Xiangya Hospital of Central South University · CNPeking University · CN

Funding

Changsha Municipal Natural Science Foundation kq2014251Hunan Provincial Innovation Foundation for Postgraduate CX20210372National Natural Science Foundation of China 81870622National Natural Science Foundation of China 82174334Research Projects in the Health Industry of Hainan Province 22A200053Scientific Research Project of Hunan Provincial Health Commission 202112070631
6 · The paper itself

Abstract

Population structure and lifestyles may have contributed to the epidemiological status of Chronic Kidney Disease due to Type 2 Diabetes (CKD-T2D). This study is a secondary data analysis. Using data from the Global Burden of Disease Study, we describe the changes in CKD-T2D burden and its influencing factors in the population aged 20-59 years from 1990 to 2019. Globally, the incidence, death, and Disability Adjusted Life Years (DALYs) rate of CKD-T2D showed an upward trend and increased with age, and the burden in males was higher than that in females. Population growth and aging were important driving factors for the increase of CKD-T2D DALY burden, while high systolic blood pressure and high body-mass index were the primary attributable risk factors. High body-mass index exhibited higher contributions to high Socioeconomic Development Index (SDI) countries, whereas low SDI countries were more impacted by high systolic blood pressure. The population attributable fraction of CKD-T2D DALY caused by high body-mass index was positively correlated with SDI, while high temperature and lead exposure were negatively correlated. Therefore, strengthening disease screening for people aged 20-59 years and formulating early intervention measures based on the level of socioeconomic development may effectively alleviate the burden of CKD-T2D.

Indexed as

Diabetes Mellitus, Type 2Persons with DisabilitiesRenal Insufficiency, ChronicAdultFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleQuality-Adjusted Life YearsRisk Factors

Identifiers

PMID37981642
PMCPMC10658077
OpenAlexW4388810803

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.