Development and validation of prognostic prediction models for early-stage cervical cancer patients based on pathological intermediate-risk factors
The nomogram models developed in this study may provide individualized prognostic predictions for early-stage CC patients, potentially facilitating personalized decision-making regarding adjuvant therapy, though further validation in diverse patient cohorts and prospective studies is needed.
Authors
- Ran Chu (ORCID: https://orcid.org/0000-0002-1133-5186)
- Guoyun Wang (ORCID: https://orcid.org/0000-0003-4023-084X)
- Jipeng Wan
- Ming Yuan (ORCID: https://orcid.org/0000-0001-6471-9266)
- Wei Tian (ORCID: https://orcid.org/0000-0003-2179-8130)
- Zihan Wang (ORCID: https://orcid.org/0000-0002-9265-3521)
- Chunrun Yang (ORCID: https://orcid.org/0000-0002-1165-2835)
- Namei Wu (ORCID: https://orcid.org/0000-0002-9328-5345)
- Xiao Song
Institutions
- Shandong Provincial Hospital (CN)
- Shandong Maternal and Child Health Hospital (CN)
- Qilu Hospital of Shandong University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Therapeutic Advances in Medical Oncology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/17588359251359461
- Citations
- 1
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.06
Funders
- China Postdoctoral Science Foundation
- Postdoctoral Innovation Project of Shandong Province