Evidence map›Paper›PMID 42369699›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2026

[Burden of Diabetic Kidney Disease at Global, Regional, and National Levels From 1990 to 2021].

Yaxian Ning, Xiaochun Zhou, Gouqin Wang, Lili Zhang, Jianqin Wang

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yaxian Ning（ 730030）Department of Nephrology, The Second Hospital of Lanzhou University, Lanzhou 730030, China.ORCID 0000-0001-7343-3059
Xiaochun Zhou（ 730030）Department of Nephrology, The Second Hospital of Lanzhou University, Lanzhou 730030, China.
Gouqin Wang（ 730030）Department of Nephrology, The Second Hospital of Lanzhou University, Lanzhou 730030, China.
Lili Zhang（ 730030）Department of Nephrology, The Second Hospital of Lanzhou University, Lanzhou 730030, China.
Jianqin Wang（ 730030）Department of Nephrology, The Second Hospital of Lanzhou University, Lanzhou 730030, China.ORCID 0000-0003-0443-8539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Based on the Global Burden of Diseases (GBD) 2021 data, this study systematically analyzed the trends in the disease burden of diabetic kidney disease (DKD) and predicted its burden over the next decade in 204 countries and regions worldwide from 1990 to 2021. Methods: Data on DKD from the GBD study spanning 1990 to 2021 were analyzed for trends using age-standardized rates (ASRs) and average annual percentage change (AAPC). The Joinpoint Regression Model (JRM) was applied to identify turning points, and the Autoregressive Integrated Moving Average (ARIMA) model was used to forecast future trends. Statistical analysis was performed using R software. Results: The age-standardized incidence rate (ASIR) and age-standardized death rate (ASDR) of global DKD from 1990 to 2021 showed substantial increases, with cumulative rises of 55.0% (95% CI: 42.3% to 69.8%, Conclusion: The global burden of DKD is steadily increasing, and it is especially severe in regions with low SDI. It is essential to implement targeted prevention and control measures in high-burden areas to provide a scientific basis for allocating public health resources.

Indexed as

Cost of IllnessDiabetic NephropathiesGlobal Burden of DiseaseGlobal HealthHumansIncidenceAge-standardized ratesDiabetic kidney diseaseDisability-adjusted life yearsDisease burdenSocio-demographic index

Identifiers

PMID42369699
PMCPMC13303228

What Socratic 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 Socratic graph.