Evidence map›Paper›PMID 36755850›Full record

ArticleClinical kidney journal2023

Temporal trends in prevalence and mortality for chronic kidney disease in China from 1990 to 2019: an analysis of the Global Burden of Disease Study 2019.

Yang Li, Yichun Ning, Bo Shen, Yiqin Shi, Nana Song, Yi Fang, Xiaoqiang Ding

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 4 pooled it
43.2field-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

161 citing papers in PubMed, 4 syntheses or guidelines pooled it, 227 citations in OpenAlex.

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101 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Yang LiDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-7016-2246
Yichun NingDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Bo ShenDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yiqin ShiDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Nana SongDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi FangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to characterize the temporal trends of chronic kidney disease (CKD) burden in China during 1990-2019, evaluate their age, period and cohort effects, and predict the disease burden for the next 10 years. Methods: Data were obtained from the Global Burden of Disease (GBD) 2019 study. Join-point regression model was used to estimate the average annual percentage change (AAPC) of CKD prevalence and mortality, and the age-period-cohort analysis was used to estimate the age, period and cohort effects. We extended the autoregressive integrated moving average (ARIMA) model to predict the disease burden of CKD in 2020-2029. Results: In 2019, there were 150.5 million cases of (10.6%) and 196 726 deaths from (13.8 per 100 000 general population) CKD in China. Between 1990 and 2019, the prevalence and mortality rate of CKD increased significantly from 6.7% to 10.6%, and from 8.3/100 000 to 13.8/100 000. The AAPC was estimated as 1.6% and 1.8%, respectively. Females had a higher CKD prevalence of CKD but a lower mortality rate. Setting the mean level of age, period and cohort as reference groups, the risk of developing CKD increased with age [RR Conclusions: To reduce the disease burden of CKD, a comprehensive strategy that includes risk factors prevention at the primary care level, CKD screening among the elderly and high-risk population, and access to high-quality medical services is required.

Indexed as

age-period-cohort analysisARIMA modelchronic kidney diseasedisease burdenjoin-point regression

Identifiers

PMID36755850
PMCPMC9900593
OpenAlexW4303983006

What OpenQuestion holds

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LicenceCC BY-NC
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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.