Realizing the Promise of Personalized Colorectal Cancer Screening in Practice-Reference-Cited by-同舟云学术

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Realizing the Promise of Personalized Colorectal Cancer Screening in Practice

Published:2021-03-18 Issue:9 Volume:113 Page:1120-1122
ISSN:0027-8874
Container-title:JNCI: Journal of the National Cancer Institute
language:en
Short-container-title:

Author:

Demb Joshua¹²^ORCID,Gupta Samir¹²³^ORCID

Affiliation:

1. Department of Veteran Affairs, San Diego Healthcare System, San Diego, CA, USA

2. Division of Gastroenterology, Department of Internal Medicine, University of California, San Diego, La Jolla, CA, USA

3. University of California, San Diego Moores Cancer Center, La Jolla, CA, USA

Funder

National Cancer Institute/National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

Link

http://academic.oup.com/jnci/advance-article-pdf/doi/10.1093/jnci/djab044/39742591/djab044.pdf

Reference14 articles.

1. Screening for colorectal cancer: US Preventive Services Task Force Recommendation Statement;Bibbins-Domingo;JAMA,2016

2. Colorectal cancer screening: recommendations for physicians and patients from the U.S. Multi-Society Task Force on Colorectal Cancer;Rex;Gastroenterology,2017

3. Long-term colorectal cancer incidence and mortality after colonoscopy screening according to individuals’ risk profiles;Wang;J Natl Cancer Institute,2021

4. Risk prediction models for colorectal cancer: a systematic review;Usher-Smith;Cancer Prev Res (Phila),2016

5. Calculating the starting age for screening in relatives of patients with colorectal cancer based on data from large nationwide data sets;Tian;Gastroenterology,2020

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1. Colorectal Cancer Polygenic Risk Score Is Associated With Screening Colonoscopy Findings but Not Follow-Up Outcomes;Gastro Hep Advances;2024

2. AGA Clinical Practice Update on Risk Stratification for Colorectal Cancer Screening and Post-Polypectomy Surveillance: Expert Review;Gastroenterology;2023-11

3. Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study;eClinicalMedicine;2023-08

4. Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review;Diagnostics;2023-01-13

5. Polygenic Risk Score for Defining Personalized Surveillance Intervals After Adenoma Detection and Removal at Colonoscopy;Clinical Gastroenterology and Hepatology;2023-01

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