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Cited by 305

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Epidemiology and Risk Factors for Kidney Cancer

Open access
Scelo, Ghislaine, Larose, Tricia L.·2018·Journal of Clinical Oncology

Abstract

The purpose of this narrative review is to summarize evidence of the epidemiology of and risk factors for kidney cancer with a focus on renal cell carcinoma in adults. The etiology of kidney cancer is largely unknown and the main epidemiologic determinants are large geographic and temporal variations in incidence rates. Established risk factors include tobacco smoking, body size, and history of hypertension and chronic kidney disease. Other suspected risk factors require additional investigation, as do the underlying biologic mechanisms that are responsible for disease occurrence. Opportunities to prevent kidney cancer include targeting modifiable risk factors—for example, smoking abstinence/cessation and body weight control—as well as interventions along the diagnostic pathway to improve early diagnosis. Molecular epidemiology, including, but not limited to, metabolomics and tumor genomics, are new areas of research that promise to play important roles in identifying some of the underlying causes of kidney cancer.

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Crossref · 10.1200/jco.2018.79.1905

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Metadata

Authors
Scelo, G., & Larose, T. L.
Venue
Journal of Clinical Oncology
Published
2018-12-20
Volume
36
Issue
36
Pages
3574-3581
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2899435570
Cited by
305
References
68
FWCI
9.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Epidemiology and Risk Factors for Kidney Cancer. https://app.cochat.ai/papers/10.1200/jco.2018.79.1905
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Scelo, G., & Larose, T. L. (2018). Epidemiology and Risk Factors for Kidney Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2018.79.1905

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.