Literature DB >> 25085581

Development of a risk assessment tool for projecting individualized probabilities of developing breast cancer for Chinese women.

Yuan Wang1, Ying Gao, Munkhzul Battsend, Kexin Chen, Wenli Lu, Yaogang Wang.   

Abstract

The optimal approach regarding breast cancer screening for Chinese women is unclear due to the relative low incidence rate. A risk assessment tool may be useful for selection of high-risk subsets of population for mammography screening in low-incidence and resource-limited developing country. The odd ratios for six main risk factors of breast cancer were pooled by review manager after a systematic research of literature. Health risk appraisal (HRA) model was developed to predict an individual's risk of developing breast cancer in the next 5 years from current age. The performance of this HRA model was assessed based on a first-round screening database. Estimated risk of breast cancer increased with age. Increases in the 5-year risk of developing breast cancer were found with the existence of any of included risk factors. When individuals who had risk above median risk (3.3‰) were selected from the validation database, the sensitivity is 60.0% and the specificity is 47.8%. The unweighted area under the curve (AUC) was 0.64 (95% CI = 0.50-0.78). The risk-prediction model reported in this article is based on a combination of risk factors and shows good overall predictive power, but it is still weak at predicting which particular women will develop the disease. It would be very helpful for the improvement of a current model if more population-based prospective follow-up studies were used for the validation.

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Mesh:

Year:  2014        PMID: 25085581     DOI: 10.1007/s13277-014-1967-0

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  36 in total

1.  Annual mammographic screening beginning at 40 years of age did not significantly reduce breast cancer mortality after 10 years in women.

Authors:  Bruce E Hillner
Journal:  Evid Based Med       Date:  2007-06

2.  Does educational level determine screening participation?

Authors:  My von Euler-Chelpin; Anne Helene Olsen; Sisse Njor; Allan Jensen; Ilse Vejborg; Walter Schwartz; Elsebeth Lynge
Journal:  Eur J Cancer Prev       Date:  2008-06       Impact factor: 2.497

3.  Health-related quality of life in early breast cancer.

Authors:  Mogens Groenvold
Journal:  Dan Med Bull       Date:  2010-09

4.  Global cancer statistics, 2002.

Authors:  D Max Parkin; Freddie Bray; J Ferlay; Paola Pisani
Journal:  CA Cancer J Clin       Date:  2005 Mar-Apr       Impact factor: 508.702

5.  Incidence and mortality of breast cancer in China, 2008.

Authors:  Wan-Qing Chen; Rong-Shou Zheng; Hong-Mei Zeng; Si-Wei Zhang; Guang-Lin Li; Liang-You Wu; Jie He
Journal:  Thorac Cancer       Date:  2013-02       Impact factor: 3.500

6.  Report of incidence and mortality in China cancer registries, 2009.

Authors:  Wanqing Chen; Rongshou Zheng; Siwei Zhang; Ping Zhao; Guanglin Li; Lingyou Wu; Jie He
Journal:  Chin J Cancer Res       Date:  2013-02       Impact factor: 5.087

Review 7.  A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance.

Authors:  Catherine Meads; Ikhlaaq Ahmed; Richard D Riley
Journal:  Breast Cancer Res Treat       Date:  2011-10-22       Impact factor: 4.872

8.  Breast cancer risk assessment with five independent genetic variants and two risk factors in Chinese women.

Authors:  Juncheng Dai; Zhibin Hu; Yue Jiang; Hao Shen; Jing Dong; Hongxia Ma; Hongbing Shen
Journal:  Breast Cancer Res       Date:  2012-01-23       Impact factor: 6.466

Review 9.  Breast cancer risk-assessment models.

Authors:  D Gareth R Evans; Anthony Howell
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

10.  Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.

Authors:  Anne S Quante; Alice S Whittemore; Tom Shriver; Konstantin Strauch; Mary B Terry
Journal:  Breast Cancer Res       Date:  2012-11-05       Impact factor: 6.466

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  7 in total

1.  Development of diagnostic SCAR markers for genomic DNA amplifications in breast carcinoma by DNA cloning of high-GC RAMP-PCR fragments.

Authors:  Shangyi Fu; Jingliang Cheng; Chunli Wei; Luquan Yang; Xiuli Xiao; Dianzheng Zhang; M David Stewart; Junjiang Fu
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2.  Risk prediction for breast Cancer in Han Chinese women based on a cause-specific Hazard model.

Authors:  Lu Wang; Liyuan Liu; Zhen Lou; Lijie Ding; Hui Guan; Fei Wang; Lixiang Yu; Yujuan Xiang; Fei Zhou; Fuzhong Xue; Zhigang Yu
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3.  A systematic review and quality assessment of individualised breast cancer risk prediction models.

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Journal:  Br J Cancer       Date:  2019-05-22       Impact factor: 7.640

4.  Occupational risk factors and breast cancer in Beijing, China: a hospital-based case-control study.

Authors:  Aihua Li; Zhuang Shen; Zhifeng Sun; Shuiying Yun; Xingkuan Tian; Zaifang Hu; Guixin Yu; Li Hu; Zihuan Wang; Yan Ye
Journal:  BMJ Open       Date:  2022-02-17       Impact factor: 2.692

Review 5.  The current status of risk-stratified breast screening.

Authors:  Ash Kieran Clift; David Dodwell; Simon Lord; Stavros Petrou; Sir Michael Brady; Gary S Collins; Julia Hippisley-Cox
Journal:  Br J Cancer       Date:  2021-10-26       Impact factor: 9.075

6.  Development and external validation of a breast cancer absolute risk prediction model in Chinese population.

Authors:  Yuting Han; Jun Lv; Canqing Yu; Yu Guo; Zheng Bian; Yizhen Hu; Ling Yang; Yiping Chen; Huaidong Du; Fangyuan Zhao; Wanqing Wen; Xiao-Ou Shu; Yongbing Xiang; Yu-Tang Gao; Wei Zheng; Hong Guo; Peng Liang; Junshi Chen; Zhengming Chen; Dezheng Huo; Liming Li
Journal:  Breast Cancer Res       Date:  2021-05-29       Impact factor: 6.466

7.  Risk assessment model for invasive breast cancer in Hong Kong women.

Authors:  Feng Wang; Juncheng Dai; Mengjie Li; Wing-Cheong Chan; Carol Chi-Hei Kwok; Siu-Lan Leung; Cherry Wu; Wentao Li; Wai-Cho Yu; Koon-Ho Tsang; Sze-Hong Law; Priscilla Ming-Yi Lee; Carmen Ka-Man Wong; Hongbing Shen; Samuel Yeung-Shan Wong; Xiaohong R Yang; Lap Ah Tse
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

  7 in total

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