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Your search keyword '"Cai, Quancai"' showing total 19 results
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19 results on '"Cai, Quancai"'

1. FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study

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, and Bai, Yu

Published
2022
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5. Knowledge of, attitudes toward, and barriers to participation of colorectal cancer screening tests in the Asia-Pacific region: a multicenter study

Author

Koo, Jenn Hian, Leong, Rupert W.L., Ching, Jessica, Yeoh, Khay-Guan, Wu, Deng-Chyang, Murdani, Abdullah, Cai, Quancai, Chiu, Han-Mo, Chong, Vui Heng, Rerknimitr, Rungsun, Goh, Khean-Lee, Hilmi, Ida, Byeon, Jeong-Sik, Niaz, Saad K., Siddique, Arif, Wu, Kai Chun, Matsuda, Takahisa, Makharia, Govind, Sollano, Jose, Lee, Sang-Kil, and Sung, Joseph J.Y.

Published
2012
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7. Additional file 1 of FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study

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, and Bai, Yu

Abstract

Additional file 1. Supplementary methods

Published
2022
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8. Additional file 2 of FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study

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, and Bai, Yu

Abstract

Additional file 2. Table S1. Clinical characteristics of participants and colonoscopy findings between the derivation and validation cohort; Table S2. Indications and quality indicators of colonoscopy between the derivation and validation cohort; Table S3. Univariate and multivariable analyses of variables included in the NCPC score based on the derivation cohort; Table S4. Univariate and multivariable analyses of variables excluded by the NCPC score based on derivation cohort; Table S5. Distribution of subjects, CN and ACN for each score category in the derivation and validation cohort; Table S6. CN risk stratified by NCPC score and FIT in the derivation and validation cohort.

Published
2022
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9. Additional file 3 of FIT-based risk-stratification model effectively screens colorectal neoplasia and early-onset colorectal cancer in Chinese population: a nationwide multicenter prospective study

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, and Bai, Yu

Abstract

Additional file 3. Supplementary lists

Published
2022
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12. Development and validation of a prediction rule for estimating gastric cancer risk in the Chinese high-risk population: a nationwide multicentre study

Author

Cai, Quancai, primary, Zhu, Chunping, additional, Yuan, Yuan, additional, Feng, Qi, additional, Feng, Yichao, additional, Hao, Yingxia, additional, Li, Jichang, additional, Zhang, Kaiguang, additional, Ye, Guoliang, additional, Ye, Liping, additional, Lv, Nonghua, additional, Zhang, Shengsheng, additional, Liu, Chengxia, additional, Li, Mingquan, additional, Liu, Qi, additional, Li, Rongzhou, additional, Pan, Jie, additional, Yang, Xiaocui, additional, Zhu, Xuqing, additional, Li, Yumei, additional, Lao, Bo, additional, Ling, Ansheng, additional, Chen, Honghui, additional, Li, Xiuling, additional, Xu, Ping, additional, Zhou, Jianfeng, additional, Liu, Baozhen, additional, Du, Zhiqiang, additional, Du, Yiqi, additional, and Li, Zhaoshen, additional

Published
2019
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19. Helicobacter pylori Infection and Serum Pepsinogen Level With the Risk of Gastric Precancerous Conditions: A Cross-sectional Study of High-risk Gastric Cancer Population in China.

Author

Zhou X, Zhu H, Zhu C, Lin K, Cai Q, Li Z, and Du Y

Subjects
Cross-Sectional Studies, Humans, Male, Pepsinogen A, Helicobacter Infections complications, Helicobacter Infections epidemiology, Helicobacter pylori, Precancerous Conditions diagnosis, Precancerous Conditions epidemiology, Stomach Neoplasms epidemiology, Stomach Neoplasms etiology
Abstract

Background and Aim: Gastric precancerous conditions are generally considered to play an essential role in the gastric carcinogenesis cascade. This study identified risk factors of gastric precancerous conditions in a nationwide multicenter cross-sectional study., Methods: Individuals who made their visit to 115 hospitals in China for gastric cancer screening were recruited. Lifestyle habits and personal information were collected through a series of questionnaires. Serum biomarker test (pepsinogen I, pepsinogen II, gastrin-17, and anti-Helicobacter pylori immunoglobulin G antibody) and endoscopy were then performed. Risk factors for gastric precancerous conditions were identified by univariate and multivariate analyses., Results: Of 14,929 subjects eligible for analysis, 4477 (30.0%) developed gastric precancerous conditions and 405 (2.71%) developed gastric cancer. In multiple logistic regression, precancerous conditions were associated with advanced age [odds ratio (OR)=1.027; 95% confidence interval (Cl), 1.023-1.032; P<0.001], male gender (OR=1.303; 95% Cl, 1.188-1.429; P<0.001), H. pylori infection (OR=1.377; 95% Cl, 1.272-1.490, P<0.001), and smoking (OR=1.142; 95% Cl, 1.005-1.298, P=0.004), whereas they were inversely correlated with white meat intake (OR=0.731; 95% Cl, 0.673-0.794; P<0.001) and pepsinogen I level (30 to 70 subgroup OR=1.536; 95% Cl, 1.163-2.028; P=0.002; <30 subgroup OR=1.354; 95% Cl, 1.206-1.520; P<0.001). Also, the authors observed a statistically lower prevalence of reflux esophagitis (2.8% vs. 4.7%) and of gastric polyps (11.0% vs. 13.7%) in H. pylori-infected population., Conclusions: Patients with H. pylori have a 1.4-fold higher risk of having gastric precancerous conditions. Besides, precancerous conditions were associated with advanced age, male gender, H. pylori infection, and smoking in a large population. However, regular white meat intake and higher pepsinogen I level were associated with reduced risk of having precancerous lesions., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Published
2021
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