Yu Hao
Sichuan University
18 Papers
10 Citations
Yu Hao is an academic researcher from Sichuan University. The author has contributed to research in topics: Breast cancer & Medicine. The author has an hindex of 1, co-authored 5 publications.
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Papers
Investigating the relationship between depression and breast cancer: observational and genetic analyses
Xueyao Wu,Wenqiang Zhang,Xunying Zhao,Li Zhang,Minghan Xu,Yu Hao,Jinyu Xiao,Ben Zhang,Jiayuan Li,Peter Kraft,Jordan W. Smoller,Xia Jiang +11 more
TL;DR: In this article , the authors evaluated the phenotypic and genetic relationships between depression and breast cancer using longitudinal follow-up data from the UK Biobank (N = 250,294).
Obesity-related protein biomarkers for predicting breast cancer risk: an overview of systematic reviews
TL;DR: There is sufficient evidence on the positive associations between certain obesity-related protein biomarkers with pre- and/or postmenopausal breast cancer risk that could be used jointly as predictors, so as to build a comprehensive risk predictive score for female breast cancer.
21
Obesity-related proteins score as a potential marker of breast cancer risk.
Sha Diao,Xueyao Wu,Xiaofan Zhang,Yu Hao,Bin Xu,Xu Li,Lulu Tian,Yunqi Miao,Xunying Zhao,Feng Ye,Jiayuan Li +10 more
TL;DR: Wang et al. as mentioned in this paper proposed a robust obesity-related protein score (ORPS) that could be used to assess breast cancer risk, which was calculated using a three-step method, with linear-weighted summation, and the one with a larger area under the curve was chosen for further evaluation.
Effect of long-term weight gain on the risk of breast cancer across women's whole adulthood as well as hormone-changed menopause stages: A systematic review and dose-response meta-analysis.
Yu Hao,Menglu Jiang,Yunqi Miao,Xu Li,Can Hou,Xiaofan Zhang,Hui Chen,Xiaorong Zhong,Jiayuan Li +8 more
TL;DR: In this article, a primary meta-analysis comparing the highest and lowest categories of adult weight gain and weight gain since menopause were performed to calculate risk estimates with 95% confidence intervals using a random-effects model.
11
Association between body fat distribution and kidney stones: Evidence from a US population
Guoxiang Li,H. Liang,Yu Hao,Qingfeng Huang,Xudong Shen,Yang Chen,Mingwei Chen,Junhua Xi,Zongyao Hao +8 more
TL;DR: In this article , the authors evaluated the relationship between the proportion of Android to Gynoid ratio and the incidence of kidney stones among US adults and found that an increased Android-to-Gynoid-ratio was associated with an increased prevalence of kidney stone.