ArticleJournal of ovarian research2023
Development and validation of a nomogram to predict cancer-specific survival of mucinous epithelial ovarian cancer after cytoreductive surgery.
Article in Journal of ovarian research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Factors associated with declining cytoreductive surgery in advanced epithelial ovarian cancer: a population-based study.World journal of surgical oncology · 2025Article
- The impact of lymph node dissection on stage I ovarian endometrioid carcinoma: A US-China Comparative Analysis.iScience · 2025Article
- Analysis of Risk Factors for Urinary Tract Infection in Ovarian Cancer Patients After Cytoreductive Surgery and Construction of a Nomogram Model.International journal of women's health · 2025Article
- Multi-omics decipher the immune microenvironment and unveil therapeutic strategies for postoperative ovarian cancer patients.Translational cancer research · 2024Article
- Nomogram for predicting the early death of patients with stage IV ovarian cancer: a retrospective analysis of the SEER database.Translational cancer research · 2024Article
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19 authors.
Funding
Abstract
backgroundMucinous epithelial ovarian cancer (mEOC) is a relatively uncommon subtype of ovarian cancer with special prognostic features, but there is insufficient research in this area. This study aimed to develop a nomogram for the cancer-specific survival (CSS) of mEOC based on Surveillance, Epidemiology, and End Results (SEER) database and externally validate it in National Union of Real World Gynecological Oncology Research and Patient Management (NUWA) platform from China.
methodsPatients screened from SEER database were allocated into training and internal validation cohort in a ratio of 7: 3, with those from NUWA platform as an external validation cohort. Significant factors selected by Cox proportional hazard regression were applied to establish a nomogram for 3-year and 5-year CSS. The performance of nomogram was assessed by concordance index, calibration curves and Kaplan-Meier (K-M) curves.
resultsThe training cohort (n = 572) and internal validation cohort (n = 246) were filtered out from SEER database. The external validation cohort contained 186 patients. Baseline age, tumor stage, histopathological grade, lymph node metastasis and residual disease after primary surgery were significant risk factors (p < 0.05) and were included to develop the nomogram. The C-index of nomogram in training, internal validation and external validation cohort were 0.869 (95% confidence interval [CI], 0.838-0.900), 0.839 (95% CI, 0.787-0.891) and 0.800 (95% CI, 0.738-0.862), respectively. The calibration curves of 3-year and 5-year CSS in each cohort showed favorable agreement between prediction and observation. K-M curves of different risk groups displayed great discrimination.
conclusionThe discrimination and goodness of fit of the nomogram indicated its satisfactory predictive value for the CSS of mEOC in SEER database and external validation in China, which implies its potential application in different populations.
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