Evidence map›Paper›PMID 40526119›Full record

ArticleUrolithiasis2025

Temporal trends and projections of urolithiasis in China and globally from 1990 to 2030: insights from the global burden of disease study 2021.

Jian Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Urolithiasis, 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

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

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

1 author.

Jian WuDepartment of Urology, General Hospital of Ningxia Medical University, Yinchuan, 750000, China. wuxiaojianxy@163.com.ORCID http://orcid.org/0000-0003-0250-9217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urolithiasis is a prevalent urological condition that poses a significant public health challenge worldwide. This study investigates the impact of urolithiasis in China and globally between 1990 and 2021, with projections through 2030. Data on incidence and disability-adjusted life years (DALYs), along with age-standardized rates (ASR), were obtained from the Global Burden of Disease (GBD) 2021. Temporal trends were assessed by utilizing the Estimated Annual Percentage Change (EAPC) and Joinpoint regression analysis. Decomposition analyses were performed to assess the contributions of population growth, aging, and epidemiological changes. Future age-standardized incidence rates (ASIR) were forecast using the Auto-Regressive Integrated Moving Average (ARIMA) model. In 2021, the global number of urolithiasis cases reached 73.12 million, with China accounting for over 18 million. The condition primarily affects males and individuals aged 50-59 years. In both China and globally, the ASR of incidence and DALYs showed a downward trend from 1990 to 2021, with a more pronounced decline in China. However, the total number of incident cases continued to rise. Decomposition analysis revealed that population aging was a major contributor to the increase in cases in China, while global increases were largely driven by population growth. Projections from the ARIMA model indicate a slight further decrease in ASIRs by 2030 for both China and globally. These findings highlight the need for future efforts to focus on optimizing healthcare resources and strengthening primary prevention strategies to mitigate the public health impact of urolithiasis.

Indexed as

UrolithiasisAdolescentAdultAgedChildChild, PreschoolChinaDisability-Adjusted Life YearsFemaleForecastingGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedDisability-adjusted life yearsGlobal burden of diseaseIncidenceUrolithiasis

Identifiers

PMID40526119

What OpenQuestion holds

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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.