Xiao‐Mao Tian
Biographic Data
| ID | 10242839 |
|---|---|
| NAME | Xiao‐Mao Tian |
| GIVEN NAMES | Xiao‐Mao |
| FAMILY NAME | Tian |
| SIGNATURE | TIAN X M |
| AFFILIATIONS | China International Science and Technology Cooperation |
| ORCID | 0000-0002-9900-7450 |
| 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 |
A Nomogram for Predicting Cancer-Specific Survival in Children With Wilms Tumor
Background: Wilms tumor (WT) is the most common tumor in children. We aim to construct a nomogram to predict the cancer-specific survival (CSS) of WT in children and externally validate in China. Methods: We downloaded the clinicopathological data of children with WT from 2004 to 2018 in the SEER database. At the same time, we used the clinicopathological data collected previously for all children with WT between 2013 and 2018 at Children's Hospi…
A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer
Objective: Prostate cancer (PC) is the second leading cause of cancer death in men in the United States after lung cancer in global incidence. Elderly male patients over 65 years old account for more than 60% of PC patients, and the impact of surgical treatment on the prognosis of PC patients is controversial. Moreover, there are currently no predictive models that can predict the prognosis of elderly PC patients undergoing surgical treatment. Th…
No prominent works on this page.
A Nomogram for Predicting Cancer-Specific Survival in Children With Wilms Tumor
Background: Wilms tumor (WT) is the most common tumor in children. We aim to construct a nomogram to predict the cancer-specific survival (CSS) of WT in children and externally validate in China. Methods: We downloaded the clinicopathological data of children with WT from 2004 to 2018 in the SEER database. At the same time, we used the clinicopathological data collected previously for all children with WT between 2013 and 2018 at Children's Hospi…
A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer
Objective: Prostate cancer (PC) is the second leading cause of cancer death in men in the United States after lung cancer in global incidence. Elderly male patients over 65 years old account for more than 60% of PC patients, and the impact of surgical treatment on the prognosis of PC patients is controversial. Moreover, there are currently no predictive models that can predict the prognosis of elderly PC patients undergoing surgical treatment. Th…
Cancer (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Nomogram (2 works) · Oncology (2 works) · Proportional hazards model (2 works) · Receiver operating characteristic (2 works) · Acute Lymphoblastic Leukemia research (1 work) · Cardiovascular Health and Risk Factors (1 work) · Concordance (1 work)