ArticleTurkish journal of urology2017
The predictive value of platelet to lymphocyte and neutrophil to lymphocyte ratio in determining urethral stricture after transurethral resection of prostate.
Article in Turkish journal of urology, 2017. 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, 14 citations in OpenAlex.
- Machine learning algorithm predicts urethral stricture following transurethral prostate resection.World journal of urology · 2024Article
- Inflammation indexes and machine-learning algorithm in predicting urethroplasty success.Investigative and clinical urology · 2024Article
- The contribution of the immune system to genitourinary fibrosis.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- The effect of platelet-rich plasma injection on post-internal urethrotomy stricture recurrence.World journal of urology · 2019Article
- Hematologic parameters and neutrophil / lymphocyte ratio in the prediction of urethroplasty success.International braz j urol : official journal of the Brazilian Society of UrologyArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe pathology of urethral stricture disease is still unclear however progressive inflammation may contribute to the development of urethral stricture. The platelet-to- lymphocyte ratio (PLR) is a new and simple marker that indicates inflammation. In this study we aimed to investigate the predictive value of neutrophil to lymphocyte ratio (NLR) and PLR in patients with urethral stricture who underwent transurethral resection of prostate (TURP). MATERIAL AND
methodsA total of 208 patients who underwent bipolar-TURP were included in this study. Patients who had previously undergone surgery due to any urethral pathology, posterior urethral strictures, previous or ongoing treatment for any cancer, hematologic disorders, presence of an active infection at the time of surgical intervention, and prior blood transfusion were excluded. PLR, NLR and red cell distribution width (RDW) levels were measured. In order to investigate the predictive values of NLR and PLR variables, binary logistic regression analysis was performed.
resultsNo statistically significant differences were observed between the groups in terms of age, NLR, RDW, prostate size and operative times. Statistically significant differences were presented only in the median PLR- values. For predicting urethral stricture, the optimal cut-off value was 112.5, (sensitivity: 0.84, specificity: 0.64; AUC=0.762, 95% CI 0.684-0.84).
conclusionIn this study we showed that PLR can be used to determine urethral stricture as a cost-effective, common, and simple biomarker in patients after TURP.
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