Trial reportCancer reports (Hoboken, N.J.)2024
Identification of prognostic factors and construction of nomogram to predict cancer-specific survival for patients with ovarian granulosa cell tumors.
Trial report in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Role of adjuvant chemotherapy in stage IC ovarian granulosa cell tumors: a systematic review and meta-analysis.Journal of gynecologic oncology · 2025Pooled it
- Identification of prognostic factors and construction of nomogram to predict cancer-specific survival for patients with ovarian granulosa cell tumors.Cancer reports (Hoboken, N.J.) · 2024Trial
- Management of ovarian granulosa cell tumor in childhood: a case report and recommendations for a multidisciplinary approach.Frontiers in oncology · 2025Review
- Clinical features and survival rate of patients with ovarian granulosa cell tumor in Iran; a 10-year retrospective study.BMC cancer · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundOvarian granulosa cell tumors (OGCTs) feature low incidence, indolent growth and late recurrence. Treatment for recurrent OGCTs is challenging.
methodsThe present study was designed to explore the prognostic factors and establish a nomogram to predict cancer-specific survival (CSS) for OGCTs patients. Enrolled in the study were 1459 eligible patients in the Surveillance, Epidemiology, and End Results (SEER) database, who were randomized to the training (n = 1021) or testing set (n = 438) at a ratio of 7:3. Univariate and multivariate Cox regression analyses were employed to screen the prognostic factors. The predictors were determined by using the Least absolute shrinkage and selection operator (LASSO) regression analysis. The model was constructed via the Cox proportional hazards risk regression analysis. The performance and clinical value of the nomograms was assessed with C-index, calibration plots, and decision curve analysis.
resultsAge, pTNM stage, tumor size, surgery of the primary tumor, surgery of regional lymph nodes (LNs), residual disease after surgery, and chemotherapy were considered as significant predictive factors for CSS in OGCTs patients. After screening, the prognostic factors except surgery of regional LNs and chemotherapy were employed to build the nomogram. With desirable discrimination and calibration, the nomogram was more powerful in predicting CSS than the American Joint Committee on Cancer staging system in clinical use.
conclusionThis novel prognostic nomogram, which comprises a stationary nomogram and a web-based calculator, offers convenience for clinicians in personalized decision-making including optimal treatment plans and prognosis assessments for OGCTs patients.
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