The reporting quality and methodological quality of dynamic prediction models for cancer prognosis
The Landmark model and joint model show potential in DPM. The suboptimal reporting and methodological qualities of current DPM studies should be improved to facilitate clinical application.
Authors
- Kehu Yang (ORCID: https://orcid.org/0000-0001-7864-3012)
- Chao Yang (ORCID: https://orcid.org/0000-0001-7426-6248)
- Hui Xu (ORCID: https://orcid.org/0000-0002-7238-2779)
- L Wang (ORCID: https://orcid.org/0000-0003-2657-1218)
- Xiajing Chu (ORCID: https://orcid.org/0000-0002-6283-8074)
- Xia Jiang (ORCID: https://orcid.org/0000-0001-5878-8986)
- Peijing Yan (ORCID: https://orcid.org/0000-0001-5525-2465)
- Zhengxing Xu (ORCID: https://orcid.org/0000-0003-3380-936X)
- Yuqin Yao (ORCID: https://orcid.org/0000-0003-2097-6978)
- Yan Ren
- Yizhuo Chen (ORCID: https://orcid.org/0009-0004-4880-5219)
- Chunxia Yang (ORCID: https://orcid.org/0000-0002-5566-3990)
- Huijie Cui (ORCID: https://orcid.org/0000-0003-1289-3179)
- Jiaqiang Liao (ORCID: https://orcid.org/0000-0002-3402-3011)
- Qin Zhang (ORCID: https://orcid.org/0000-0002-9245-4928)
- Yanqiu Zou
- Li Zhang (ORCID: https://orcid.org/0000-0003-2104-0194)
- Ling Zhang (ORCID: https://orcid.org/0000-0002-8236-9228)
- Wenqiang Zhang (ORCID: https://orcid.org/0000-0002-0317-3914)
- Ben Zhang (ORCID: https://orcid.org/0000-0002-4972-5171)
- Yunjie Liu (ORCID: https://orcid.org/0000-0002-9312-7523)
- Zhenmi Liu (ORCID: https://orcid.org/0000-0003-0840-1071)
- Jiayuan Li (ORCID: https://orcid.org/0000-0002-6965-8877)
- Shanpeng Xu
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- Southwest Medical University (CN)
- Lanzhou University Second Hospital (CN)
- Impact (CA)
- Lanzhou University (CN)
- McMaster University (CA)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1186/s12874-025-02516-2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China