ArticleJournal of gynecologic oncology2019
Optimal cutoff age for predicting prognosis associated with serous epithelial ovarian cancer: what is the best age cutoff?
Article in Journal of gynecologic oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Germline landscape of high grade serous ovarian cancer across age groups: Is age just a number?Gynecologic oncology · 2025Article
- Article
- Value analysis of preoperative peripheral blood LMR in predicting prognosis of serous papillary ovarian adenocarcinoma.Discover oncology · 2024Article
- Efficacy and safety of PARP inhibitors in elderly patients with advanced ovarian cancer: a systematic review and meta-analysis.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2022Article
- Article
- Cause-specific mortality rate of ovarian cancer in the presence of competing risks of death: a nationwide population-based cohort study.Journal of gynecologic oncology · 2022Article
- Article
- ToleRability of BevacizUmab in elderly Ovarian cancer patients (TURBO study): a case-control study of a real-life experience.Journal of gynecologic oncology · 2020Article
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7 authors.
Funding
Abstract
objectiveElderly age is one of the poor prognostic factors in epithelial ovarian cancer (EOC), but the optimal age cut-off is not known. The present study sought to identify the ideal age cutoff that represents a negative prognostic factor in EOC, considering the geriatric assessment.
methodsHazard ratios (HRs) with p-values were calculated using all possible age cutoffs with stage, histology, grade, optimality and comorbidities as covariates in multivariate Cox regression model. The trends of p-value and HR by age cutoff were further evaluated in a subgroup of histology and in The Cancer Genome Atlas (TCGA) dataset. In addition, propensity score-matching analysis using the identified age cutoff was performed.
resultsAn age of 66 years was shown to be the most significant cutoff for defining old age with independent prognostic power (HR=1.45; 95% confidence interval=1.04-2.03; p=0.027). This result was also observed with the analyses of serous histology subgroup and with the analysis of a TCGA dataset with serous EOC. In survival analysis, patients aged ≥66 years had significantly worse overall survival compared with younger individuals (56 months vs. 87 months; p=0.006), even following propensity score matching (57 vs. 78 months; p=0.038).
conclusionAn age of 66 years is the best cutoff to define elderly age in serous EOC patients considering the geriatric assessment, and this information can be used in the administration of individualized therapies in elderly EOC patients.
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