ArticleJournal of ovarian research2023
Differences of survival benefits brought by various treatments in ovarian cancer patients with different tumor stages.
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 7 papers.
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Who cites it
7 citing papers in PubMed.
- Combination of transvaginal ultrasound with cervical cancer screening contributes to early detection of ovarian cancer: Clinical trial.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Trial
- Minimally invasive hyperthermic intraperitoneal chemotherapy at the time of interval cytoreductive surgery for ovarian cancer: a case report.Journal of surgical case reports · 2026Article
- PKM2 Inhibitors Induce Autophagic Cell Death Through Suppression of PKM2-Mediated Glycolysis in Cisplatin-Resistant Ovarian Cancer Cells.International journal of molecular sciences · 2026Article
- A Scoping Review of the Challenges and Future Perspectives in the Use of Alpha-Emitters for Metastatic Ovarian Cancer.Molecules (Basel, Switzerland) · 2026Article
- Molecular Signature of Cisplatin Resistance in Ovarian Cancer Identifies Therapeutic Opportunities for Re-sensitization.Journal of Cancer · 2026Article
- Two Cases of Mesonephric-Like Adenocarcinoma Arising From Ovary and Peritoneal and Literature Review.Cureus · 2025Article
- Aptamers as Potential Therapeutic Tools for Ovarian Cancer: Advancements and Challenges.Cancers · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe current study aimed to explore the prognosis of ovarian cancer patients in different subgroup using three prognostic research indexes. The current study aimed to build a prognostic model for ovarian cancer patients.
methodsThe study dataset was downloaded from Surveillance Epidemiology and End Results database. Accelerated Failure Time algorithm was used to construct a prognostic model for ovary cancer.
resultsThe mortality rate in the model group was 51.6% (9,314/18,056), while the mortality rate in the validation group was 52.1% (6,358/12,199). The current study constructed a prognostic model for ovarian cancer patients. The C indexes were 0.741 (95% confidence interval: 0.731-0.751) in model dataset and 0.738 (95% confidence interval: 0.726-0.750) in validation dataset. Brier score was 0.179 for model dataset and validation dataset. The C indexes were 0.741 (95% confidence interval: 0.733-0.749) in bootstrap internal validation dataset. Brier score was 0.178 for bootstrap internal validation dataset.
conclusionThe current research indicated that there were significant differences in the survival benefits of treatments among ovarian cancer patients with different stages. The current research developed an individual mortality risk predictive system that could provide valuable predictive information for ovarian cancer patients.
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