Evidence map›Paper›PMID 42521664›Full record

ArticleNature communications2026

Racial and ethnic disparities in the cause of death for clear cell renal cell carcinoma.

Yingwei Xie, Yishan Zhang, Shuang Li, Li Chen, Yuexin Liu, Wenlian Xie, Zaosong Zheng, Hao Ping

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yingwei Xie *Department of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Yishan Zhang *Department of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Shuang LiUrology Research Laboratory, Department for BioMedical Research, University of Bern, Bern, Switzerland.
Li ChenInstitute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Yuexin LiuDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Wenlian XieDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Zaosong ZhengDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China. zhengzaosong@smu.edu.cn.ORCID 0000-0001-9497-8461
Hao PingDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, China. pinghaotrh@ccmu.edu.cn.ORCID 0000-0003-2912-0965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The trends and contributors of racial and ethnic disparities in causes of death among patients with clear cell renal cell carcinoma remain unclear. We analyse SEER data (2000-2019) and find that Black patients have the highest 5-year cumulative incidence of death (22.4% vs. 21.7% in whites). Despite a decreasing trend in mortality, the disparities persist between Black and white people (HR 1.15, 95% CI 1.09-1.22) and between AIAN and white people (1.25, 1.10-1.43). Disparities in death from cardiovascular disease between Black and white people increase over time. Stage at diagnosis, receipt of surgery, income, and geographic factors partially explain the observed disparities in mortality patterns. This study identifies specific, measurable contributors to mortality disparities, suggesting that interventions targeting earlier detection, equitable treatment, and socioeconomic barriers are needed.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAgedAmerican Indian or Alaska NativeBlack or African AmericanCause of DeathEthnicityFemaleHumansIncidenceMaleMiddle AgedRacial GroupsSEER ProgramUnited StatesWhite

Identifiers

PMID42521664
PMCPMC13415887

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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.