ArticleJournal of gynecologic oncology2024
Preoperative laboratory parameters associated with deep vein thrombosis in patients with ovarian cancer: retrospective analysis of 3,147 patients in a single institute.
Article in Journal of gynecologic oncology, 2024. 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.
- Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features.Frontiers in medicine · 2026Article
- D-dimer as a more effective marker for detecting thrombosis in patients with ovarian clear cell carcinoma compared with high-grade serous carcinoma.Molecular and clinical oncology · 2026Article
- Association between monocyte percentage and chronic endometritis among infertile patients: a retrospective study.Scientific reports · 2025Article
- Machine learning-based risk prediction of postoperative deep vein thrombosis in Chinese patients undergoing gastrointestinal surgery.Frontiers in cardiovascular medicine · 2025Article
- Precision nursing and intermittent pneumatic compression significantly reduce perioperative deep vein thrombosis in post-surgical ovarian cancer patients.American journal of translational research · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
objectivePatients with ovarian cancer have a high risk of developing thrombosis. We aimed to investigate laboratory parameters associated with deep vein thrombosis (DVT) in patients treated for ovarian cancer.
methodsWe retrospectively analyzed pre-operation laboratory data of patients with ovarian cancer for DVT at the National Cancer Center, Korea, between January 2000 and February 2021. The test items were white blood cell count, absolute neutrophil count (ANC), hemoglobin, platelets, monocytes, serum glucose, CA125, D-dimer, fibrinogen, prothrombin time (PT), activated partial thromboplastin time (aPTT), and body mass index (BMI). Differences between patients with and without DVT were compared with Wilcoxon rank-sum test. We analyzed the variables using logistic regression. Items with significant odds ratios were included in multivariate logistic regression. Significant variables were selected using backward elimination. Items were further categorized based on reference ranges. Univariate and multivariate analyses were performed to identify items with abnormal values associated with DVT.
resultsFrom 3,147 patient samples analyzed, 286 (9.1%) patients with DVT were selected. Differences between patients with vs without DVT were statistically significant for hemoglobin, monocyte, serum glucose, CA125, PT, aPTT, fibrinogen, D-dimer, and BMI. After univariate and multivariate analysis, monocyte, glucose, and PT remained significant. Among the categorical variables, low hemoglobin, high monocyte, high CA125, prolonged PT, and high BMI remained significant after univariate and multivariate analysis.
conclusionPre-operation laboratory data of low hemoglobin, high monocyte percentage, high serum glucose, high CA125, prolonged PT, and high BMI were associated with DVT.
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