Evidence map›Paper›PMID 40604575›Full record

ArticleBMC public health2025

Burden of kidney cancer in China from 1990 to 2021 and predictions for 2036: an age-period-cohort analysis of global burden of disease study 2021.

Yi-Fan Zhang, Yun-Hua Ji, Hao-Zhong Hou, Xiao-Zheng Fan, Bo Yang, Zhen Yao, Hao Wang, Bo Zhang, Long-Long Zhang, Xiao-Jian Yang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Yi-Fan ZhangDepartment of Urology, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China.
Yun-Hua JiDepartment of Urology, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China.
Hao-Zhong HouDepartment of Urology, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China.
Xiao-Zheng FanDepartment of Urology, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China.
Bo YangDepartment of Urology, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China.
Zhen YaoDepartment of Urology, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China.
Hao WangDepartment of Urology, Tongji Shanxi Hospital, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, 030000, China.
Bo ZhangDepartment of Urology, Tangdu Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China. zhangbo_tduro@163.com.
Long-Long ZhangDepartment of Urology, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China. zhanglgg@126.com.
Xiao-Jian YangDepartment of Urology, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, Shanxi, China. xiaojianyangxjh@163.com.

Funding

Xijing Hospital XJZT24CY28
6 · The paper itself

Abstract

objectiveThis study aimed to describe the temporal trends and risk factors of kidney cancer (KC) burden from 1990 to 2021, evaluate its age, period, and cohort effects, and project the disease burden over the next 15 years.

methodsData were derived from the 2021 Global Burden of Disease (GBD) study. A joinpoint regression model was used to estimate the average annual percentage change (AAPC) in KC prevalence and mortality, while age-period-cohort analysis was applied to estimate age, period, and cohort effects. We extended the Bayesian age-period-cohort (BAPC) model to predict the disease burden of KC from 2022 to 2036.

resultsIn 2021, the number of incident KC cases in China reached 65,799 (4.62 cases per 100,000 total population). Additionally, KC resulted in 24,867 deaths (1.75 deaths per 100,000 total population).The incidence rate of KC continued to rise from 1.38 per 100,000 in 1990 to 4.62 per 100,000 in 2021, with males consistently exceeding females in case numbers. Meanwhile, KC mortality rose from 0.77 per 100,000 in 1990 to 1.75 per 100,000 in 2021.Throughout the study period, the average annual percent changes (AAPC) in incidence and mortality were 3.92% and 2.61%, respectively. Males exhibited higher prevalence and mortality of KC. In the Age-Period-Cohort (APC) analysis, the risk of KC was observed to increase with advancing age in the age dimension. Period effects analysis revealed an overall downward trajectory in all age groups. Cohort-level analysis indicated that early birth cohorts had higher susceptibility, with those born before 1920-1925 exhibiting a higher risk profile that subsequently decreased over time. Smoking and high body mass index (BMI) were the primary risk factors for KC-related disability-adjusted life years (DALYs) and mortality, while the contribution of occupational exposure to trichloroethylene was relatively minor. By 2036, the age-standardized incidence and mortality of KC are projected to rise to 4.58 and 1.31 per 100,000, respectively.

conclusionTo alleviate the disease burden of KC, comprehensive strategies are required, including risk factor prevention in primary care settings, KC screening for the elderly and high-risk populations, and access to high-quality medical services.

Indexed as

Kidney NeoplasmsAdolescentAdultAgedAged, 80 and overBayes TheoremChinaCohort StudiesFemaleForecastingGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedPrevalenceAge-period-cohort analysisBayesian age–period–cohortJoin-point regressionKidney cancer

Identifiers

PMID40604575
PMCPMC12220390

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LicenceCC BY-NC-ND
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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.