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Diagnostic and predictive value of inflammatory biomarkers on prior to prostate.

Authors :
Yenigurbuz, Serkan
Ediz, Caner
Akan, Serkan
Alcin, Adem
Yilmaz, Omer
Source :
Annals of Medical of Research. Nov2023, Vol. 30 Issue 11, p1389-1392. 4p.
Publication Year :
2023

Abstract

Aim: Prostate cancer (PCa) is the second most commonly diagnosed cancer in men. The cost-effectiveness of biomarkers assessed prior to the prostate biopsy is still a matter of debate. The present study aims to investigate the predictive role of inflammation markers that do not involve additional costs, before the first biopsy to increase the detection rates of clinically significant PCa and to avoid unnecessary biopsies. Materials and Methods: The present study was performed with a total of 236 patients who underwent prostate biopsy between January 2015 and December 2019 and who were selected by a random sampling method. The patients were divided into the two groups of benign (n = 140) and malignant (n = 96) based on the pathology results. Mann--Whitney U test and ROC analysis were used for the statistical analyses. A p value of <0.05 was considered significant. Results: The median (mean) age of the patients participating in the study was 66 (11) years. Compared to the patients with benign pathology results, the median age, PSA, and PSAD values of the patients diagnosed with PCa were higher, whereas the median PV levels were lower (p: 0.001, p: 0.001, p: 0.001, and p: 0.008, respectively). There was no statistically significant difference between the two groups in terms of inflammation markers levels (p>0.05). Conclusion: Inflammation biomarkers (NLR, PLR, and SII) assessed before prostate biopsy did not contribute to the predictive factors currently used in the prediction of biopsy results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26367688
Volume :
30
Issue :
11
Database :
Academic Search Index
Journal :
Annals of Medical of Research
Publication Type :
Academic Journal
Accession number :
174147109
Full Text :
https://doi.org/10.5455/annalsmedres.2023.05.117