Literature DB >> 26627608

A Risk-Scoring System Combined With a Fecal Immunochemical Test Is Effective in Screening High-Risk Subjects for Early Colonoscopy to Detect Advanced Colorectal Neoplasms.

Han-Mo Chiu1, Jessica Y L Ching2, Kai Chun Wu3, Rungsun Rerknimitr4, Jingnan Li5, Deng-Chiang Wu6, Khean Lee Goh7, Takahisa Matsuda8, Hyun-Soo Kim9, Rupert Leong10, Khay Guan Yeoh11, Vui Heng Chong12, Jose D Sollano13, Furqaan Ahmed14, Jayaram Menon15, Joseph J Y Sung16.   

Abstract

BACKGROUND & AIMS: Age, sex, smoking, and family history are risk factors for colorectal cancer in Asia. The Asia-Pacific Colorectal Screening (APCS) scoring system was developed to identify subjects with a high risk for advanced neoplasm (AN). We tested an algorithm that combined APCS scores with fecal immunochemical test (FIT) in colorectal cancer screening.
METHODS: We performed a multicenter prospective study, enrolling asymptomatic individuals older than 40 years old in 12 Asia-Pacific regions from December 2011 to December 2013. APCS scores were calculated for each individual (0-1 = low risk [LR], 2-3 = medium risk [MR], and 4-7 = high risk [HR] for AN). LR and MR subjects were offered FIT and referred for early colonoscopies if FIT results were positive. HR subjects were offered colonoscopies. The proportions of subjects with ANs were determined for each group based on colonoscopy findings; odd ratios for LR and MR subjects were calculated compared to LR individuals. We calculated the sensitivity of the APCS-FIT algorithm in identifying subjects with AN.
RESULTS: A total of 5657 subjects were recruited: 646 subjects (11.4%) were considered LR, 3243 subjects (57.3%) were considered MR, and 1768 subjects (31.3%) were considered HR for AN. The proportions of individuals with an AN in these groups were 1.5%, 5.1%, and 10.9%, respectively. Compared with LR group, MR and HR subjects had a 3.4-fold increase and a 7.8-fold increase in risk for AN, respectively. A total of 70.6% subjects with AN (95% confidence interval: 65.6%-75.1%) and 95.1% subjects with invasive cancers (95% confidence interval: 82.2%-99.2%) were correctly instructed to undergo early colonoscopy examination.
CONCLUSIONS: The APCS scoring system, which is based on age, sex, family history, and smoking, is a useful tool for determining risk for colorectal cancer and advanced adenoma in asymptomatic subjects. Use of the APCS score-based algorithm in triaging subjects for FIT or colonoscopy can substantially reduce colonoscopy workload.
Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Colon Cancer; Early Detection; Population; Tumor

Mesh:

Substances:

Year:  2015        PMID: 26627608     DOI: 10.1053/j.gastro.2015.11.042

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  23 in total

1.  A scoring model for predicting advanced colorectal neoplasia in a screened population of asymptomatic Japanese individuals.

Authors:  Masau Sekiguchi; Yasuo Kakugawa; Minori Matsumoto; Takahisa Matsuda
Journal:  J Gastroenterol       Date:  2018-01-22       Impact factor: 7.527

Review 2.  Colorectal Cancer Screening: Recommendations for Physicians and Patients from the U.S. Multi-Society Task Force on Colorectal Cancer.

Authors:  Douglas K Rex; C Richard Boland; Jason A Dominitz; Francis M Giardiello; David A Johnson; Tonya Kaltenbach; Theodore R Levin; David Lieberman; Douglas J Robertson
Journal:  Am J Gastroenterol       Date:  2017-06-06       Impact factor: 10.864

Review 3.  Colorectal Cancer Screening in Asia.

Authors:  Han-Mo Chiu; Wen-Feng Hsu; Li-Chun Chang; Ming-Hsiang Wu
Journal:  Curr Gastroenterol Rep       Date:  2017-08-10

4.  UEG Week 2020 Poster Presentations.

Authors: 
Journal:  United European Gastroenterol J       Date:  2020-10       Impact factor: 4.623

Review 5.  Guaiac-based faecal occult blood tests versus faecal immunochemical tests for colorectal cancer screening in average-risk individuals.

Authors:  Esmée J Grobbee; Pieter Ha Wisse; Eline H Schreuders; Aafke van Roon; Leonie van Dam; Ann G Zauber; Iris Lansdorp-Vogelaar; Wichor Bramer; Sarah Berhane; Jonathan J Deeks; Ewout W Steyerberg; Monique E van Leerdam; Manon Cw Spaander; Ernst J Kuipers
Journal:  Cochrane Database Syst Rev       Date:  2022-06-06

6.  Findings from the first colorectal cancer screening among 103 542 individuals in Vietnam with systematic review of colorectal cancer screening programs in Asia-Pacific region.

Authors:  Chi Thi-Du Tran; Mai Vu-Tuyet Nguyen; Mo Thi Tran; Thuy Thi-Van Tuong; Quang Hong Tran; Linh Cu Le; Huong Thi-Thu Pham; Nam Chi Bui; Hien Huy Vu; Tu Thi-Cam Nguyen; Phuong Que Ta; Hien Thi-Thu Ha; Dung Tuan Trinh; Hanh Thi-My Bui; Dien Quang Trinh; Khanh Van Nguyen; Song Huu Le; Khien Van Vu; Thuan Van Tran; Huong Thi-Thanh Tran; Martha J Shrubsole; Fei Ye; Qiuyin Cai; Wei Zheng; Paolo Boffetta; Xiao-Ou Shu; Hung N Luu
Journal:  Jpn J Clin Oncol       Date:  2022-07-08       Impact factor: 2.925

Review 7.  Early-onset colorectal cancer: initial clues and current views.

Authors:  Lorne J Hofseth; James R Hebert; Anindya Chanda; Hexin Chen; Bryan L Love; Maria M Pena; E Angela Murphy; Mathew Sajish; Amit Sheth; Phillip J Buckhaults; Franklin G Berger
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-02-21       Impact factor: 46.802

8.  Occult Blood in Feces Is Associated with Increased Risk of Psoriasis.

Authors:  Hyun Jung Lee; Kyungdo Han; Hosim Soh; Seong-Joon Koh; Jong Pil Im; Joo Sung Kim; Hyo Eun Park; Miri Kim
Journal:  Dermatology       Date:  2021-09-16       Impact factor: 5.197

9.  Impact of Fecal Hb Levels on Advanced Neoplasia Detection and the Diagnostic Miss Rate For Colorectal Cancer Screening in High-Risk vs. Average-Risk Subjects: a Multi-Center Study.

Authors:  Satimai Aniwan; Thawee Ratanachu-Ek; Supot Pongprasobchai; Julajak Limsrivilai; Ong-Ard Praisontarangkul; Pises Pisespongsa; Pisaln Mairiang; Apichat Sangchan; Jaksin Sottisuporn; Naruemon Wisedopas; Pinit Kullavanijaya; Rungsun Rerknimitr
Journal:  Clin Transl Gastroenterol       Date:  2017-08-10       Impact factor: 4.488

10.  Application of deep learning to predict advanced neoplasia using big clinical data in colorectal cancer screening of asymptomatic adults.

Authors:  Hyo-Joon Yang; Chang Woo Cho; Jongha Jang; Sang Soo Kim; Kwang-Sung Ahn; Soo-Kyung Park; Dong Il Park
Journal:  Korean J Intern Med       Date:  2020-10-23       Impact factor: 2.884

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