Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles
This study established and validated a nomogram combining CBC and lipid profiles to predict RFS in patients with optimally debulked EOC, which is expected to aid gynecologists in individualized prognosis assessment and clinical management.
Authors
- Yi Chen (ORCID: https://orcid.org/0009-0009-9770-5632)
- Wang Hui (ORCID: https://orcid.org/0000-0002-2589-988X)
- Jing Liu (ORCID: https://orcid.org/0000-0002-3311-0818)
- Jing He (ORCID: https://orcid.org/0000-0002-1954-2892)
- Ke Chen (ORCID: https://orcid.org/0000-0002-6914-6257)
- Xi Tang (ORCID: https://orcid.org/0000-0002-9075-0555)
- Qin Huang (ORCID: https://orcid.org/0009-0009-2510-1776)
- Yingyu Tian
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-02-03
- DOI
- https://doi.org/10.3389/fonc.2025.1525867
- Citations
- 1
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.05