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Cited by 665

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Colorectal cancer development and advances in screening

Open access
Balchen, Vanessa, Simon, Karen·2016·Clinical Interventions in Aging

Abstract

Most colon tumors develop via a multistep process involving a series of histological, morphological, and genetic changes that accumulate over time. This has allowed for screening and detection of early-stage precancerous polyps before they become cancerous in individuals at average risk for colorectal cancer (CRC), which may lead to substantial decreases in the incidence of CRC. Despite the known benefits of early screening, CRC remains the second leading cause of cancer-related deaths in the United States. Hence, it is important for health care providers to have an understanding of the risk factors for CRC and various stages of disease development in order to recommend appropriate screening strategies. This article provides an overview of the histological/molecular changes that characterize the development of CRC. It describes the available CRC screening methods and their advantages and limitations and highlights the stages of CRC development in which each screening method is most effective.

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Metadata

Authors
Balchen, V., & Simon, K.
Venue
Clinical Interventions in Aging
Published
2016-07
Volume
Volume 11
Pages
967-976
ISSN
  • 1176-9092 (ISSN-L)
  • 1178-1998
OpenAlex
W2484161709
Cited by
665
References
76
FWCI
10.82
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Colorectal cancer development and advances in screening. https://app.cochat.ai/papers/10.2147/cia.s109285
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Balchen, V., & Simon, K. (2016). Colorectal cancer development and advances in screening. Clinical Interventions in Aging. https://doi.org/10.2147/cia.s109285

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.