Xiaoting Zhao
Biographic Data
| ID | 10021897 |
|---|---|
| NAME | Xiaoting Zhao |
| GIVEN NAMES | Xiaoting |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO X |
| AFFILIATIONS | Capital Medical University |
| ORCID | 0000-0002-1838-4255 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Non-linear Relationship of Maternal Age With Risk of Spontaneous Abortion
Background Spontaneous abortion is one of the prevalent adverse reproductive outcomes, which seriously threatens maternal health around the world. Objective The current study is aimed to evaluate the association between maternal age and risk for spontaneous abortion among pregnant women in China. Methods This was a case-control study based on the China Birth Cohort, we compared 338 cases ending in spontaneous abortion with 1,352 controls resultin…
Factors Influencing Delayed Treatment in Patients With Breast Cancer During Covid-19 Pandemic
Background The outbreak of coronavirus disease 2019 (COVID-19) has endangered human health and life. This pandemic has changed people's lifestyle and affected the regular delivery of standard cancer treatment. In the present study, we aimed to explore the influencing factors of delayed treatment in patients with breast cancer during COVID-19 pandemic. Methods This study was a cross-sectional investigation, and the subjects were patients who were …
No prominent works on this page.
Non-linear Relationship of Maternal Age With Risk of Spontaneous Abortion
Background Spontaneous abortion is one of the prevalent adverse reproductive outcomes, which seriously threatens maternal health around the world. Objective The current study is aimed to evaluate the association between maternal age and risk for spontaneous abortion among pregnant women in China. Methods This was a case-control study based on the China Birth Cohort, we compared 338 cases ending in spontaneous abortion with 1,352 controls resultin…
Factors Influencing Delayed Treatment in Patients With Breast Cancer During Covid-19 Pandemic
Background The outbreak of coronavirus disease 2019 (COVID-19) has endangered human health and life. This pandemic has changed people's lifestyle and affected the regular delivery of standard cancer treatment. In the present study, we aimed to explore the influencing factors of delayed treatment in patients with breast cancer during COVID-19 pandemic. Methods This study was a cross-sectional investigation, and the subjects were patients who were …
Internal Medicine (2 works) · Medicine (2 works) · Abortion (1 work) · Advanced maternal age (1 work) · Anxiety (1 work) · Breast cancer (1 work) · Cancer (1 work) · Case-control study (1 work) · Cohort study (1 work) · Confidence interval (1 work)