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Dermatology
Original research
Prediction of relative survival trends in patients with cutaneous squamous cell carcinoma using a model-based period analysis: a retrospective analysis of the surveillance, epidemiology, and end results database

Authors

  • Suzheng Zheng Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China PubMed articlesGoogle scholar articles
  • Hai Yu Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China PubMed articlesGoogle scholar articles
  • Jinrong Zhang Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China PubMed articlesGoogle scholar articles
  • Wai Chi Lau Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China PubMed articlesGoogle scholar articles
  • Ming Chen Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China PubMed articlesGoogle scholar articles
  • Hongtao Cheng School of Nursing, Jinan University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Hua Xian Department of plastic surgery, The Dermetolgy Hospital of Southern Medical University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Wai-kit Ming Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China PubMed articlesGoogle scholar articles
  • Leong Nga Cheng Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China Department of Dermatology, Kiang wu hospital, Macau, China PubMed articlesGoogle scholar articles
  • Yong He Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China PubMed articlesGoogle scholar articles
  • Shuli Huang Department of Dermatology & STD, The Affiliated Hospital of Southwest Medical University, Luzhou, China PubMed articlesGoogle scholar articles
  • Wenhui Chen Shanghai Aige Medical Beauty Clinic Co., Ltd. (Agge), Shanghai, China PubMed articlesGoogle scholar articles
  • Jun Lyu Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China PubMed articlesGoogle scholar articles
  • Liehua Deng Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China PubMed articlesGoogle scholar articles
  1. Correspondence to Liehua Deng; LiehuaDeng{at}126.com; Jun Lyu; lyujun2020{at}jnu.edu.cn; Wenhui Chen; 3126832945{at}qq.com
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Citation

Zheng S, Yu H, Zhang J, et al
Prediction of relative survival trends in patients with cutaneous squamous cell carcinoma using a model-based period analysis: a retrospective analysis of the surveillance, epidemiology, and end results database
BMJ Open 2024;14:e086488. doi: 10.1136/bmjopen-2024-086488

Publication history

  • Received March 18, 2024
  • Accepted November 18, 2024
  • First published December 11, 2024.
Online issue publication 
December 11, 2024
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© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.