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FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study
No fully validated risk-stratification strategies have been established in China where colonoscopies resources are limited. We aimed to develop and validate a fecal immunochemical test (FIT)-based risk-stratification model for colorectal neoplasia (CN); 10,164 individuals were recruited from 175 cen...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636700/ https://www.ncbi.nlm.nih.gov/pubmed/36333749 http://dx.doi.org/10.1186/s13045-022-01378-1 |
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author | Zhao, Shengbing Wang, Shuling Pan, Peng Xia, Tian Wang, Rundong Cai, Quancai Chang, Xin Yang, Fan Gu, Lun He, Zixuan Wu, Jiayi Meng, Qianqian Wang, Tongchang Fang, Qiwen Mou, Xiaomei Yu, Honggang Zheng, Jinghua Bai, Cheng Zou, Yingbin Chen, Dongfeng Zou, Xiaoping Ren, Xu Xu, Leiming Yao, Ping Xiong, Guangsu Shu, Xu Dang, Tong Zhang, Li Wang, Wen Kang, Shengchao Cao, Hongfei Gong, Aixia Li, Jun Zhang, Heng Du, Yiqi Li, Zhaoshen Bai, Yu |
author_facet | Zhao, Shengbing Wang, Shuling Pan, Peng Xia, Tian Wang, Rundong Cai, Quancai Chang, Xin Yang, Fan Gu, Lun He, Zixuan Wu, Jiayi Meng, Qianqian Wang, Tongchang Fang, Qiwen Mou, Xiaomei Yu, Honggang Zheng, Jinghua Bai, Cheng Zou, Yingbin Chen, Dongfeng Zou, Xiaoping Ren, Xu Xu, Leiming Yao, Ping Xiong, Guangsu Shu, Xu Dang, Tong Zhang, Li Wang, Wen Kang, Shengchao Cao, Hongfei Gong, Aixia Li, Jun Zhang, Heng Du, Yiqi Li, Zhaoshen Bai, Yu |
author_sort | Zhao, Shengbing |
collection | PubMed |
description | No fully validated risk-stratification strategies have been established in China where colonoscopies resources are limited. We aimed to develop and validate a fecal immunochemical test (FIT)-based risk-stratification model for colorectal neoplasia (CN); 10,164 individuals were recruited from 175 centers nationwide and were randomly allocated to the derivation (n = 6776) or validation cohort (n = 3388). Multivariate logistic analyses were performed to develop the National Colorectal Polyp Care (NCPC) score, which formed the risk-stratification model along with FIT. The NCPC score was developed from eight independent predicting factors and divided into three levels: low risk (LR 0–14), intermediate risk (IR 15–17), and high risk (HR 18–28). Individuals with IR or HR of NCPC score or FIT+ were classified as increased-risk individuals in the risk-stratification model and were recommended for colonoscopy. The IR/HR of NCPC score showed a higher prevalence of CNs (21.8%/32.8% vs. 11.0%, P < 0.001) and ACNs (4.3%/9.2% vs. 2.0%, P < 0.001) than LR, which was also confirmed in the validation cohort. Similar relative risks and predictive performances were demonstrated between non-specific gastrointestinal symptoms (NSGS) and asymptomatic cohort. The risk-stratification model identified 73.5% CN, 82.6% ACN, and 93.6% CRC when guiding 52.7% individuals to receive colonoscopy and identified 55.8% early-onset ACNs and 72.7% early-onset CRCs with only 25.6% young individuals receiving colonoscopy. The risk-stratification model showed a good risk-stratification ability for CN and early-onset CRCs in Chinese population, including individuals with NSGS and young age. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13045-022-01378-1. |
format | Online Article Text |
id | pubmed-9636700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96367002022-11-06 FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study Zhao, Shengbing Wang, Shuling Pan, Peng Xia, Tian Wang, Rundong Cai, Quancai Chang, Xin Yang, Fan Gu, Lun He, Zixuan Wu, Jiayi Meng, Qianqian Wang, Tongchang Fang, Qiwen Mou, Xiaomei Yu, Honggang Zheng, Jinghua Bai, Cheng Zou, Yingbin Chen, Dongfeng Zou, Xiaoping Ren, Xu Xu, Leiming Yao, Ping Xiong, Guangsu Shu, Xu Dang, Tong Zhang, Li Wang, Wen Kang, Shengchao Cao, Hongfei Gong, Aixia Li, Jun Zhang, Heng Du, Yiqi Li, Zhaoshen Bai, Yu J Hematol Oncol Correspondence No fully validated risk-stratification strategies have been established in China where colonoscopies resources are limited. We aimed to develop and validate a fecal immunochemical test (FIT)-based risk-stratification model for colorectal neoplasia (CN); 10,164 individuals were recruited from 175 centers nationwide and were randomly allocated to the derivation (n = 6776) or validation cohort (n = 3388). Multivariate logistic analyses were performed to develop the National Colorectal Polyp Care (NCPC) score, which formed the risk-stratification model along with FIT. The NCPC score was developed from eight independent predicting factors and divided into three levels: low risk (LR 0–14), intermediate risk (IR 15–17), and high risk (HR 18–28). Individuals with IR or HR of NCPC score or FIT+ were classified as increased-risk individuals in the risk-stratification model and were recommended for colonoscopy. The IR/HR of NCPC score showed a higher prevalence of CNs (21.8%/32.8% vs. 11.0%, P < 0.001) and ACNs (4.3%/9.2% vs. 2.0%, P < 0.001) than LR, which was also confirmed in the validation cohort. Similar relative risks and predictive performances were demonstrated between non-specific gastrointestinal symptoms (NSGS) and asymptomatic cohort. The risk-stratification model identified 73.5% CN, 82.6% ACN, and 93.6% CRC when guiding 52.7% individuals to receive colonoscopy and identified 55.8% early-onset ACNs and 72.7% early-onset CRCs with only 25.6% young individuals receiving colonoscopy. The risk-stratification model showed a good risk-stratification ability for CN and early-onset CRCs in Chinese population, including individuals with NSGS and young age. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13045-022-01378-1. BioMed Central 2022-11-04 /pmc/articles/PMC9636700/ /pubmed/36333749 http://dx.doi.org/10.1186/s13045-022-01378-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Correspondence Zhao, Shengbing Wang, Shuling Pan, Peng Xia, Tian Wang, Rundong Cai, Quancai Chang, Xin Yang, Fan Gu, Lun He, Zixuan Wu, Jiayi Meng, Qianqian Wang, Tongchang Fang, Qiwen Mou, Xiaomei Yu, Honggang Zheng, Jinghua Bai, Cheng Zou, Yingbin Chen, Dongfeng Zou, Xiaoping Ren, Xu Xu, Leiming Yao, Ping Xiong, Guangsu Shu, Xu Dang, Tong Zhang, Li Wang, Wen Kang, Shengchao Cao, Hongfei Gong, Aixia Li, Jun Zhang, Heng Du, Yiqi Li, Zhaoshen Bai, Yu FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study |
title | FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study |
title_full | FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study |
title_fullStr | FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study |
title_full_unstemmed | FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study |
title_short | FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study |
title_sort | fit-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in chinese population: a nationwide multicenter prospective study |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636700/ https://www.ncbi.nlm.nih.gov/pubmed/36333749 http://dx.doi.org/10.1186/s13045-022-01378-1 |
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