Open access
88
Views
0
CrossRef citations to date
0
Altmetric
Original Research
Development and Validation of Prognostic Survival Nomograms for Patients with Anal Canal Cancer: A SEER-Based Study
Jie Tang1 Department of Oncology, Liyang People’s Hospital, Liyang, 213300, People’s Republic of ChinaView further author information
, Liqun Zhu1 Department of Oncology, Liyang People’s Hospital, Liyang, 213300, People’s Republic of ChinaView further author information
, Yuejiao Huang2 Medical School, Nantong University, Nantong, 226019, People’s Republic of China;3 Department of Medical Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, 226399, People’s Republic of ChinaView further author information
, Lixiang Yang4 Department of Neurosurgery, Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, People’s Republic of ChinaView further author information
, Dangen Ge5 Department of Pharmacy, Liyang People’s Hospital, Liyang, 213300, People’s Republic of ChinaView further author information
, Zhengyu Hu6 Department of General Surgery, Shanghai Tenth People’s Hospital, Affiliated to Tongji University School of Medicine, Shanghai, 200072, People’s Republic of ChinaView further author information
& Chun Wang1 Department of Oncology, Liyang People’s Hospital, Liyang, 213300, People’s Republic of ChinaCorrespondence[email protected]
https://orcid.org/0000-0001-9672-0771View further author information
show allhttps://orcid.org/0000-0001-9672-0771View further author information
Pages 10065-10081
|
Published online: 20 Dec 2021
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.