{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:20:51Z","timestamp":1763389251231,"version":"3.40.5"},"reference-count":29,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T00:00:00Z","timestamp":1568246400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Andrology"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>The aim of the study was to investigate the ability of the systemic inflammatory parameters to predict the discrimination of the phases of Peyronie's disease (<jats:styled-content style=\"fixed-case\">PD<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and methods<\/jats:title><jats:p>Demographic, clinical, and laboratory data from 156 patients with <jats:styled-content style=\"fixed-case\">PD<\/jats:styled-content> were analyzed. A complete blood count (<jats:styled-content style=\"fixed-case\">CBC<\/jats:styled-content>) was obtained for every patient, and the neutrophil\u2010to\u2010lymphocyte ratio (<jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content>), platelet\u2010to\u2010lymphocyte ratio (<jats:styled-content style=\"fixed-case\">PLR<\/jats:styled-content>), and monocyte\u2010to\u2010eosinophil ratio (<jats:styled-content style=\"fixed-case\">MER<\/jats:styled-content>) were calculated for every men. Subsequently, patients were divided into two groups based upon the phase of the disease.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The mean age was 51.9\u00a0\u00b1\u00a09.6 in all study population. The mean duration between symptom onset and patient evaluation was 4.2\u00a0\u00b1\u00a03.2\u00a0months in acute phase group, while it was 32.7\u00a0\u00b1\u00a031.7\u00a0months in chronic phase group (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001). There were no significant differences between the groups according to comorbidities such as diabetes, hypertension, lipid abnormalities, ischemic heart disease, smoking, and alcohol consumption. There was a statistically significant difference in <jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">PLR<\/jats:styled-content> between two groups (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.008, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.008, respectively). <jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">PLR<\/jats:styled-content> were significantly correlated with discrimination status in univariate analysis (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.003, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.005, respectively). Multivariate regression analysis revealed that <jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content> was the only independent risk factor for discrimination of the phases of <jats:styled-content style=\"fixed-case\">PD<\/jats:styled-content> (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001). The <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> analysis revealed a cutoff value of 1.8 (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content> 0.712, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001; sensitivity 61.1%; specificity 75.0%) for the <jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our study demonstrated that <jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content> could be helpful to differentiate the chronic phase from the acute phase in patients with <jats:styled-content style=\"fixed-case\">PD<\/jats:styled-content>. Therefore, <jats:styled-content style=\"fixed-case\">NLR<\/jats:styled-content> could be used as an objective biomarker to the management of the disease and choosing the appropriate treatment.<\/jats:p><\/jats:sec>","DOI":"10.1111\/andr.12702","type":"journal-article","created":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T07:01:11Z","timestamp":1568271671000},"page":"348-352","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["The role of inflammatory parameters (neutrophil\u2010to\u2010lymphocyte ratio, platelet\u2010to\u2010lymphocyte ratio, and monocyte\u2010to\u2010eosinophil ratio) in patients with Peyronie's disease"],"prefix":"10.1111","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9300-6860","authenticated-orcid":false,"given":"S.","family":"\u00d6zbir","sequence":"first","affiliation":[{"name":"Department of Urology Okmeydan\u0131 Training and Research Hospital \u015ei\u015fli\u2010\u0130stanbul Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2875-5750","authenticated-orcid":false,"given":"R. 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