Evidence map›Paper›PMID 40287893›Full record

ArticleAnnals of surgical oncology2025

Burden of Urological Cancers in the Labour Force from 1990 to 2021 and Projections to 2050.

Junyan Chen, Cen Meng

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

2 authors.

Junyan Chen *The Fourth Clinical College, China Medical University, Shenyang, China. CJChenCMU2024@outlook.com.
Cen Meng *The Fourth Clinical College, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrological cancers represent an increasing public health concern in the labour force, mainly including prostate cancer (PCA), kidney cancer (KCA), testicular cancer (TCA), and bladder cancer (BLCA). Limited data exist on their occurrence, deaths, and disability-adjusted life years (DALYs). The objective of this study was to analyse three-decade trends in these cancers globally and forecast future patterns.

methodsThe study used Global Burden of Disease 2021 data from 1990 to 2021 to evaluate urological cancer stats, including prevalence, incidence, mortality, and DALYs. For people aged 15-64 years, it was then manually age-standardized once. Herein, we employed a range of analytical techniques, including decomposition analysis, a Bayesian Age-Period-Cohort model, a Concentration index and slope index, and frontier analysis, to examine the trends in 204 countries and regions. Furthermore, the relationship between the Socio-Demographic Index (SDI) and the burden of disease is addressed.

resultsOver the past 30 years, PCA, TCA, and KCA rates have risen among the global labour force population. North America, North Asia, and Europe have high incidence and mortality rates. TCA mortality and BLCA and TCA prevalence are expected to continue rising globally until 2050. Urological cancer impacts vary by region and development with more burden in areas with a higher SDI.

conclusionsUrological cancers represent a substantial disease burden on labour force populations, emphasizing the imperative for targeted interventions and healthcare resources for affected populations. It is therefore crucial to have a comprehensive understanding of the global and regional epidemiological trends, as well as the findings of health economics studies.

Indexed as

Cost of IllnessEmploymentGlobal Burden of DiseaseUrologic NeoplasmsAdolescentAdultDisability-Adjusted Life YearsFemaleFollow-Up StudiesForecastingGlobal HealthHumansIncidenceKidney NeoplasmsMaleMiddle Aged

Identifiers

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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.