Evidence map›Paper›PMID 39845663›Full record

ArticleFrontiers in public health2024

Global burden, trends, and disparities in kidney cancer attributable to smoking from 1990 to 2021.

Siyu Han, Shiyu Zhao, Ran Zhong, Peizhe Li, Yuewen Pang, Shuang He, Junyao Duan, Huijie Gong, Jing Shi, Li Liu and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Siyu Han *Department of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Shiyu Zhao *Department of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ran Zhong *Department of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Peizhe LiDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yuewen PangDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Shuang HeDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Junyao DuanDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Huijie GongDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jing ShiDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Li LiuShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yongji YanDepartment of Urology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Smoking is a well-established risk factor for kidney cancer. Analyzing the latest global spatio-temporal trends in the kidney cancer burden attributable to smoking is critical for informing effective public health policies. Methods: Using data from the 2021 GBD database, we examined deaths, disability-adjusted life years (DALYs), and age-standardized rate (ASR) of kidney cancer attributable to smoking across global, regional, and national levels. Trends in ASRs were assessed through estimated annual percentage change (EAPC). We conducted a cross-country analysis to evaluate disparities in the kidney cancer burden from 1990 to 2021, with absolute and relative inequalities measured by the slope index of inequality and concentration index, respectively. Correlation analysis was conducted by the Spearman rank order correlation method. Additionally, we projected age-standardized death and DALYs rates up to 2036 using Bayesian age-period-cohort (BAPC) models in R. Results: Globally, kidney cancer deaths attributable to smoking increased by 67.64%, from 9,673 in 1990 to 16,216 in 2021. Despite this increase, the age-standardized death rate (ASDR) dropped from 0.25 to 0.19 per 100,000 (EAPC: -0.93). Similarly, the age-standardized disability-adjusted life years rate (ASDALY) decreased from 6.17 to 4.37 per 100,000 (EAPC: -1.15). Geographically, areas with a higher Socio-demographic Index (SDI) were the most affected. The positive correlation between higher SDI and increased deaths highlights the role of economic and social factors in disease prevalence. Cross-country analysis shows that while relative inequalities between groups are improving, absolute differences in health burdens continue to grow. Furthermore, projections indicate a gradual decline in ASDR and ASDALY for both sexes from 2022 to 2036. Conclusion: Between 1990 and 2021, both the global ASDR and ASDALY attributable to smoking in kidney cancer, which are positively correlated with SDI, have declined. However, significant demographic and geographic disparities persist, with the disease burden remaining higher in older populations and regions with elevated SDI levels. Moreover, while the overall burden is projected to decline annually over the next 15 years, it is expected to remain significantly higher in men. These findings emphasize the need for region-specific health prevention strategies to reduce smoking-related kidney cancer.

Indexed as

Global HealthHealth Status DisparitiesKidney NeoplasmsSmokingAdultAgedDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedQuality-Adjusted Life YearsRisk Factorsburden of diseasedeathdisability-adjusted life-yearskidney cancersmoking

Identifiers

PMID39845663
PMCPMC11750797

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.