Si Chen
Peking University
5 Papers
9 Citations
Si Chen is an academic researcher from Peking University. The author has contributed to research in topics: Genome-wide association study & Expression quantitative trait loci. The author has an hindex of 3, co-authored 5 publications.
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Papers
Reliability and validity of an indicator system used to evaluate outpatient and inpatient satisfaction in Chinese hospitals.
Jun Zhang,Zhou Feng,Ge Xiaoxiang,Ran Xu,Yeping Li,Si Chen,Xiaotong Dai,Dafang Chen,Baoguo Jiang +8 more
TL;DR: The indicator systems for evaluating satisfaction of outpatients, surgical inpat patients and nonsurgical inpatients all have excellent reliability and good validity and can be widely used for an outpatient and inpatient satisfaction questionnaire in Chinese hospitals.
Identification of genetic loci jointly influencing coronary artery disease risk and sleep traits of insomnia, sleep duration, and chronotype
TL;DR: Substantial genetic enrichment in CAD condition on associations with sleep traits is observed, indicating polygenic overlap, and GO analysis of the loci shared between CAD and sleep traits implicated cellular component related to synapse.
11
Grading effect of abnormal glucose status on arterial stiffness and a new threshold of 2-h post-load glucose based on a Chinese community study.
Zhi-ke Liu,Ke-Ye Wu,Xiaotong Dai,Qianzi Che,Si Chen,Jia Jia,Jianping Li,Yong Huo,Yan Zhang,Dafang Chen +9 more
TL;DR: To investigate the relationship between various glucose metabolic status and arterial stiffness, and further explore the threshold of blood glucose indices for the risk of arterIAL stiffness.
4
Relationship Between Different Risk Factor Patterns and Follow-Up Outcomes in Patients With ST-Segment Elevation Myocardial Infarction.
TL;DR: Wang et al. as mentioned in this paper identified risk factor patterns that may be associated with 1-year survival in male patients with ST-segment elevation myocardial infarction (STEMI).
The Integrated Landscape of Biological Candidate Causal Genes in Coronary Artery Disease
TL;DR: This study delineated the landscape of CAD potential causal genes and highlighted several biological processes involved in CAD pathogenesis that may shed light on mechanistic insights into CAD development and provide potential drug targets for future therapeutics.