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Published in: Tumor Biology 11/2014

01-11-2014 | Research Article

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

Authors: Yuan Wang, Ying Gao, Munkhzul Battsend, Kexin Chen, Wenli Lu, Yaogang Wang

Published in: Tumor Biology | Issue 11/2014

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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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Metadata
Title
Development of a risk assessment tool for projecting individualized probabilities of developing breast cancer for Chinese women
Authors
Yuan Wang
Ying Gao
Munkhzul Battsend
Kexin Chen
Wenli Lu
Yaogang Wang
Publication date
01-11-2014
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 11/2014
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-014-1967-0

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