ArticleCancer medicine2025
Development and Validation of Predictive Risk Scores for Ovarian Clear Cell Carcinoma: A Penalized Regression Model.
Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Development and validation of a nomogram for predicting recurrence in epithelial ovarian cancer after primary cytoreductive surgery: A single-center retrospective study.Pakistan journal of medical sciences · 2026Article
- Development and Validation of Predictive Risk Scores for Ovarian Clear Cell Carcinoma: A Penalized Regression Model.Cancer medicine · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundThe precision management of ovarian clear cell carcinoma (OCCC) faces limitations due to the absence of personalized prognostic tools. This study aimed to establish predictive risk scores to enable effective stratification and tailored treatment of OCCC.
methodsRetrospective data from 206 OCCC patients treated between 2004 and 2019 at two hospitals were analyzed. Penalized regression models were utilized to develop three risk scores based on preoperative laboratory results and intraoperative findings. These scores underwent internal and external validation.
resultsThe median follow-up periods were 65.7 and 44.0 months for the derivation and validation cohorts, respectively. In internal validation with the derivation cohort, all three risk scores effectively identified the high-risk group for tumor recurrence. Upon validation with the external cohort, Risk Score 3, which incorporated variables selected in most cross-validations by the penalized regression (Elastic Net), distinctly differentiated the high- and low-risk groups (p = 0.03). Risk Score 2, consisting solely of preoperatively available variables, also demonstrated marginal significance (p = 0.08).
conclusionOur findings underscore the significance and utility of the developed risk scores in tailoring personalized treatments for patients with OCCC.
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