Evidence map›Paper›PMID 40740358›Full record

ArticleFrontiers in public health2025

Global, regional, and national burden of acute glomerulonephritis from 1990 to 2021 and future trend predictions until 2036: a systematic analysis using the Global Burden of Disease Study 2021.

Yangtian Jiao, Xing Chen, Tianyu Zhang, Changyu Ma, Congrong Shen, Bo Yu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Yangtian JiaoDepartment of Urology, China-Japan Friendship Hospital, Beijing, China.
Xing ChenDepartment of Urology, China-Japan Friendship Hospital, Beijing, China.
Tianyu ZhangDepartment of Urology, China-Japan Friendship Hospital, Beijing, China.
Changyu MaChina-Japan Friendship Hospital, Beijing, China.
Congrong ShenDepartment of Urology, China-Japan Friendship Hospital, Beijing, China.
Bo YuDivision of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze the global, regional, and national burden of acute glomerulonephritis (AGN) from 1990 to 2021 and project its trends through 2036 using data from the Global Burden of Disease (GBD) study. Methods: Using the GBD 2021 dataset, we evaluated the burden of AGN in terms of incidence, mortality, and disability-adjusted life years (DALYs). Age-standardized rates (ASRs) were calculated, and trends were assessed using the Estimated Annual Percentage Change (EAPC) measure. Decomposition analysis quantified the contributions of population growth, aging, and epidemiological changes. Projections for AGN burden were modeled using the Auto-Regressive Integrated Moving Average (ARIMA) approach. Results: From 1990 to 2021, the global age-standardized incidence rate (ASIR) of AGN declined by 46.09%, and the age-standardized DALY rate decreased by 65.87%. Middle-Socio-Demographic Index (SDI) regions exhibited the highest burden, while high-SDI regions showed increasing trends in mortality and DALY, potentially linked to autoimmune and systemic conditions. Decomposition analysis highlighted the role of epidemiological improvements, balanced by the impacts of population growth and aging. Projections indicate a continued global decline, with a 43.81% reduction in the ASIR and a 62.92% decline in the age-standardized DALY rate by 2036. Conclusion: Despite significant global progress, disparities persist, particularly in low- and middle-income regions. Targeted interventions, enhanced diagnostic capabilities, and strategies that address socioeconomic determinants are essential to achieving a equitable reduction in the AGN burden. This study emphasizes the importance of global and regional strategies in improving AGN outcomes worldwide.

Indexed as

Global Burden of DiseaseGlobal HealthGlomerulonephritisAcute DiseaseAdultAgedCost of IllnessDisability-Adjusted Life YearsFemaleForecastingHumansIncidenceMaleMiddle Agedacute glomerulonephritisdisability-adjusted life yearsGlobal Burden of Diseasesincidenceprevalence

Identifiers

PMID40740358
PMCPMC12307507

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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.