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Chenghao Zhanghuang

Biographic Data

ID8334164
NAMEChenghao Zhanghuang
GIVEN NAMESChenghao
FAMILY NAMEZhanghuang
SIGNATUREZHANGHUANG C
AFFILIATIONSKunming Medical University
ORCID0000-0001-6421-767X
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children

    Open Access•Jinkui Wang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    BACKGROUND: Osteosarcoma (OSC) and Ewing's sarcoma (EWS) are children's most common primary bone tumors. The purpose of the study is to develop and validate a new nomogram to predict the cancer-specific survival (CSS) of childhood OSC and EWS. METHODS: The clinicopathological information of all children with OSC and EWS from 2004 to 2018 was downloaded from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivaria…

  • A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer

    Open Access•Zhaoxia Zhang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    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…

  • Development and Validation of a Competitive Risk Model in Elderly Patients With Chromophobe Cell Renal Carcinoma

    Open Access•Jinkui Wang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Renal cell carcinoma (RCC) is the most common renal malignancy in adults, and chromophobe renal cell carcinoma (chRCC) is the third most common subtype of RCC. We aimed to construct a competitive risk model to predict cancer-specific survival (CSS) in elderly patients with chRCC. Methods: The clinicopathological information of the patients was downloaded from the SEER database, and the patients were randomly divided into the training …

  • A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Clear Cell Renal Cell Carcinoma

    Open Access•Chenghao Zhanghuang, Jinkui Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Clear cell renal cell carcinoma (ccRCC) is expected in the elderly and poor prognosis. We aim to explore prognostic factors of ccRCC in the elderly and construct a nomogram to predict cancer-specific survival (CSS) in elderly patients with ccRCC. Methods: Clinicopathological information for all elderly patients with ccRCC from 2004 to 2018 was downloaded from the Surveillance, Epidemiology, and End Results (SEER) program. All patients…

  • Gleason score, surgical and distant metastasis are associated with cancer-specific survival and overall survival in middle aged high-risk prostate cancer

    Open Access•Guangbiao Cao, Yan Li et al.•ARTICLE•Frontiers in Public Health•2022

    Objective: According to statistics, patients with high-risk prostate cancer (PC) account for about 15% of prostate cancer diagnoses, and high-risk patients usually have a poor prognosis due to metastasis and recurrence and have a high mortality rate. Therefore, the accurate prediction of prognostic-related risk factors in middle-aged high-risk PC patients between 50 and 65 can help reduce patient mortality. We aimed to construct new nomograms for…

  • Development and Validation of a Nomogram to Predict Cancer-Specific Survival in Elderly Patients With Papillary Renal Cell Carcinoma

    Open Access•Chenghao Zhanghuang, Jinkui Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Objective: Papillary renal cell carcinoma (pRCC) is the second most common type of renal cell carcinoma and an important disease affecting older patients. We aimed to establish a nomogram to predict cancer-specific survival (CSS) in elderly patients with pRCC. Methods: Patient information was downloaded from the Surveillance, Epidemiology, and End Results (SEER) project, and we included all elderly patients with pRCC from 2004 to 2018. All patien…

  • Development and Validation of a Nomogram to Predict Distant Metastasis in Elderly Patients With Renal Cell Carcinoma

    Open Access•Jinkui Wang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    BACKGROUND: Renal cell carcinoma (RCC) is the most common renal malignant tumor in elderly patients. The prognosis of renal cell carcinoma with distant metastasis is poor. We aim to construct a nomogram to predict the risk of distant metastasis in elderly patients with RCC to help doctors and patients with early intervention and improve the survival rate. METHODS: The clinicopathological information of patients was downloaded from SEER to identif…

No prominent works on this page.

  • A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children

    Open Access•Jinkui Wang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    BACKGROUND: Osteosarcoma (OSC) and Ewing's sarcoma (EWS) are children's most common primary bone tumors. The purpose of the study is to develop and validate a new nomogram to predict the cancer-specific survival (CSS) of childhood OSC and EWS. METHODS: The clinicopathological information of all children with OSC and EWS from 2004 to 2018 was downloaded from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivaria…

  • A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer

    Open Access•Zhaoxia Zhang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    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…

  • Development and Validation of a Competitive Risk Model in Elderly Patients With Chromophobe Cell Renal Carcinoma

    Open Access•Jinkui Wang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Renal cell carcinoma (RCC) is the most common renal malignancy in adults, and chromophobe renal cell carcinoma (chRCC) is the third most common subtype of RCC. We aimed to construct a competitive risk model to predict cancer-specific survival (CSS) in elderly patients with chRCC. Methods: The clinicopathological information of the patients was downloaded from the SEER database, and the patients were randomly divided into the training …

  • A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Clear Cell Renal Cell Carcinoma

    Open Access•Chenghao Zhanghuang, Jinkui Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Clear cell renal cell carcinoma (ccRCC) is expected in the elderly and poor prognosis. We aim to explore prognostic factors of ccRCC in the elderly and construct a nomogram to predict cancer-specific survival (CSS) in elderly patients with ccRCC. Methods: Clinicopathological information for all elderly patients with ccRCC from 2004 to 2018 was downloaded from the Surveillance, Epidemiology, and End Results (SEER) program. All patients…

  • Gleason score, surgical and distant metastasis are associated with cancer-specific survival and overall survival in middle aged high-risk prostate cancer

    Open Access•Guangbiao Cao, Yan Li et al.•ARTICLE•Frontiers in Public Health•2022

    Objective: According to statistics, patients with high-risk prostate cancer (PC) account for about 15% of prostate cancer diagnoses, and high-risk patients usually have a poor prognosis due to metastasis and recurrence and have a high mortality rate. Therefore, the accurate prediction of prognostic-related risk factors in middle-aged high-risk PC patients between 50 and 65 can help reduce patient mortality. We aimed to construct new nomograms for…

  • Development and Validation of a Nomogram to Predict Cancer-Specific Survival in Elderly Patients With Papillary Renal Cell Carcinoma

    Open Access•Chenghao Zhanghuang, Jinkui Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Objective: Papillary renal cell carcinoma (pRCC) is the second most common type of renal cell carcinoma and an important disease affecting older patients. We aimed to establish a nomogram to predict cancer-specific survival (CSS) in elderly patients with pRCC. Methods: Patient information was downloaded from the Surveillance, Epidemiology, and End Results (SEER) project, and we included all elderly patients with pRCC from 2004 to 2018. All patien…

  • Development and Validation of a Nomogram to Predict Distant Metastasis in Elderly Patients With Renal Cell Carcinoma

    Open Access•Jinkui Wang, Chenghao Zhanghuang et al.•ARTICLE•Frontiers in Public Health•2022

    BACKGROUND: Renal cell carcinoma (RCC) is the most common renal malignant tumor in elderly patients. The prognosis of renal cell carcinoma with distant metastasis is poor. We aim to construct a nomogram to predict the risk of distant metastasis in elderly patients with RCC to help doctors and patients with early intervention and improve the survival rate. METHODS: The clinicopathological information of patients was downloaded from SEER to identif…

Internal Medicine (7 works) · Medicine (7 works) · Oncology (7 works) · Multivariate analysis (5 works) · Multivariate statistics (5 works) · Nomogram (5 works) · Proportional hazards model (5 works) · Receiver operating characteristic (5 works) · Statistics (5 works) · Univariate (5 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae