Literature DB >> 30817918

Usefulness of risk stratification models for colorectal cancer based on fecal hemoglobin concentration and clinical risk factors.

Chan Hyuk Park1, Yoon Suk Jung2, Nam Hee Kim3, Jung Ho Park2, Dong Il Park2, Chong Il Sohn2.   

Abstract

BACKGROUND AND AIMS: We aimed to develop risk stratification models for advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) based on fecal hemoglobin (f-Hb) concentration and clinical risk factors.
METHODS: We reviewed screenees aged ≥50 years who underwent fecal immunochemical test (FIT) and colonoscopy and developed risk-scoring models for ACRN and CRC using logistic regression analysis. Participants were classified into low- (risk lower than that in FIT-negative individuals), intermediate- (risk higher than that in FIT-negative but lower than that in FIT-positive individuals), high- (risk similar to that in FIT-positive individuals), and very-high- (risk higher than that in FIT-positive individuals) risk groups.
RESULTS: Of 3733 participants, 367 (9.8%) and 70 (1.9%) had ACRN and CRC, respectively. On multivariable analysis, age (ß = .043/y), former smoker (ß = .401), current smoker (ß = .841), diabetes (ß = .097), and square root of f-Hb concentration (ß = .071) were significantly associated with ACRN. In terms of CRC, age (ß = .035/y) and square root of f-Hb concentration (ß = .004) were associated factors. After point assignments based on the regression coefficient, we could classify screenees as low-, intermediate-, high-, and very-high-risk groups. ACRN was identified in 2.9%, 5.3%, 16.2%, and 35.7% of screenees in the low-, intermediate-, high-, and very-high-risk groups, respectively. CRC was identified in .1%, .5%, 3.9%, and 11.1% of screenees in the low-, intermediate-, high-, and very-high-risk groups, respectively.
CONCLUSIONS: The proposed models can effectively stratify the risk for ACRN and CRC and provide accurate information on this risk in individuals who undergo FIT.
Copyright © 2019 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30817918     DOI: 10.1016/j.gie.2019.02.023

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


  3 in total

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Journal:  Frontline Gastroenterol       Date:  2021-02-23

2.  Comparative yield and efficiency of strategies based on risk assessment and fecal immunochemical test in colorectal cancer screening: A cross-sectional population-based analysis.

Authors:  Hongda Chen; Le Wang; Ming Lu; Chen Zhu; Yunfeng Zhu; Weihua Ma; Xinmin Chen; Lingbin Du; Wanqing Chen
Journal:  Chin J Cancer Res       Date:  2021-08-31       Impact factor: 5.087

3.  Validation of the Asia-Pacific colorectal screening score and its modified versions in predicting colorectal advanced neoplasia in Chinese population.

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Journal:  BMC Cancer       Date:  2022-09-07       Impact factor: 4.638

  3 in total

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