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Cited 3 time in webofscience Cited 2 time in scopus
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Clinical risk stratification model for advanced colorectal neoplasia in persons with negative fecal immunochemical test resultsopen access

Authors
Jung, Yoon SukPark, Chan HyukKim, Nam HeePark, Jung HoPark, Dong IlSohn, Chong Il
Issue Date
Jan-2018
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v.13, no.1
Indexed
SCIE
SCOPUS
Journal Title
PLOS ONE
Volume
13
Number
1
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3182
DOI
10.1371/journal.pone.0191125
ISSN
1932-6203
Abstract
Objectives The fecal immunochemical test (FIT) has low sensitivity for detecting advanced colorectal neoplasia (ACRN); thus, a considerable portion of FIT-negative persons may have ACRN. We aimed to develop a risk-scoring model for predicting ACRN in FIT-negative persons. Materials and methods We reviewed the records of participants aged ≥40 years who underwent a colonoscopy and FIT during a health check-up. We developed a risk-scoring model for predicting ACRN in FIT-negative persons. Results Of 11,873 FIT-negative participants, 255 (2.1%) had ACRN. On the basis of the multivariable logistic regression model, point scores were assigned as follows among FIT-negative persons: age (per year from 40 years old), 1 point; current smoker, 10 points; overweight, 5 points; obese, 7 points; hypertension, 6 points; old cerebrovascular attack (CVA), 15 points. Although the proportion of ACRN in FIT-negative persons increased as risk scores increased (from 0.6% in the group with 0–4 points to 8.1% in the group with 35–39 points), it was significantly lower than that in FIT-positive persons (14.9%). However, there was no statistical difference between the proportion of ACRN in FIT-negative persons with ≥40 points and in FIT-positive persons (10.5% vs. 14.9%, P = 0.321). Conclusions FIT-negative persons may need to undergo screening colonoscopy if they clinically have a high risk of ACRN. The scoring model based on age, smoking habits, overweight or obesity, hypertension, and old CVA may be useful in selecting and prioritizing FIT-negative persons for screening colonoscopy.
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