ArticleJournal of gynecologic oncology2019
The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4.
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 6 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
6 citing papers in PubMed, 12 citations in OpenAlex.
- HE4 as a serum biomarker for the diagnosis of pelvic masses: a prospective, multicenter study in 965 patients.BMC cancer · 2022Observational
- Comparison of HE4, CA125, ROMA and CPH-I for Preoperative Assessment of Adnexal Tumors.Diagnostics (Basel, Switzerland) · 2022Article
- Plasma circN4BP2L2 is a promising novel diagnostic biomarker for epithelial ovarian cancer.BMC cancer · 2022Article
- Management of the Adnexal Mass: Considerations for the Family Medicine Physician.Frontiers in medicine · 2022Article
- A nomogram model based on clinical markers for predicting malignancy of ovarian tumors.Frontiers in endocrinology · 2022Article
- Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify the power of tumor markers for predicting ovarian cancer according to menopausal status.
methodsThe medical records of 876 women with ovarian cysts were retrospectively reviewed. Cancer antigen 125 (CA 125), human epididymis protein 4 (HE4), and Risk of Ovarian Malignancy Algorithm (ROMA) were analyzed. Sensitivity, specificity, and the receiver operating characteristic (ROC) curve analyses of these tumor markers were evaluated.
resultsThe sensitivity of ROMA was 66.7% and the specificity was 86.8% to detect ovarian malignancy. The patients were divided into 2 groups according to menopausal status: premenopause (n=532, 60.7%) and postmenopause (n=344, 39.3%). For diagnostic accuracy, ROMA was lower than HE4 in premenopausal women (82.7% vs. 91.4%) and lower than CA 125 in postmenopausal women (86.9% vs. 88.7%). The ROC curve analysis revealed that the power of ROMA was not significantly better than that of HE4 in premenopausal women (area under the curve [AUC], 0.731 vs. 0.732, p=0.832), and it was also not significantly better than that of CA 125 in postmenopausal women (AUC, 0.871 vs. 0.888, p=0.440).
conclusionThe discrimination power of tumor markers for ovarian cancer was different according to menopausal status. In predicting ovarian malignancy, ROMA was neither superior to HE4 in premenopausal women nor superior to CA 125 in postmenopausal women.
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