ArticleInternational urology and nephrology2021
Pre-treatment red blood cell distribution width as a predictor of clinically significant prostate cancer.
Article in International urology and nephrology, 2021. 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, 11 citations in OpenAlex.
- Hematological parameters as predictors of prostate cancer: A study based on multivariable and bidirectional Mendelian randomization.Medicine · 2025Article
- Increased ratio of red cell distribution width to lymphocyte percentage as a new preoperative marker for unfavorable survival outcomes in upper tract urothelial carcinoma.Biomedical reports · 2025Article
- The value of preoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell distribution width in predicting positive surgical margin after laparoscopic radical prostatectomy.Cancer reports (Hoboken, N.J.) · 2024Article
- Red Blood Cell Distribution Width Is Associated with All-cause Mortality but Not Adverse Cancer-specific Outcomes in Men with Clinically Localized Prostate Cancer Treated with Radical Prostatectomy: Findings Based on a Multicenter Shared Equal Access Regional Cancer Hospital Registry.European urology open science · 2022Article
- Clinical Utility of Red Blood Cell Distribution Width for the Diagnosis and Prognosis of Cervical Cancer.International journal of general medicine · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe present study aims to assess the relationship between red blood cell distribution width (RDW) and clinically significant prostate cancer (csPCa).
methodsA total of 458 patients with prostate-specific antigen (PSA) ≤ 10 ng/ml, who subsequently underwent 11-core transperineal template-guided prostate biopsy from June 15, 2015 to November 24, 2020, were included in the present study. Receiver-operating characteristic (ROC)-derived area under the curve analysis was performed to evaluate the predictive accuracy. In addition, univariate and multivariate logistic regression analysis was carried out to determine the association between RDW and csPCa detection.
resultsA total of 89 patients were diagnosed with csPCa, and these patients presented with higher median RDW. The optimal RDW cut-off was set at 12.35%, which gained the maximal Yuden's index. In addition to csPCa, RDW demonstrated a positive correlation with age (r = 0.210, P < 0.001). It was observed that RDW was independent of prostate-specific antigen density for csPCa detection. Compared with the low-RDW group, patients in the high-RDW group had a 1.586-fold increased risk of being diagnosed with csPCa (OR = 2.586, P = 0.007). In the ROC analysis, the accuracy level increased by 3.1% for the prediction of csPCa, when RDW was added to the multivariate logistic model.
conclusionA high-RDW value is an independent risk factor for csPCa detection. However, more large-scale studies are needed to confirm these findings. If validated, RDW can become an inexpensive, non-invasive, and convenient indicator for csPCa prediction.
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