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Investigating Preoperative Hematologic Markers for Prediction of Ovarian Cancer Surgical Outcome
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 Title & Authors
Investigating Preoperative Hematologic Markers for Prediction of Ovarian Cancer Surgical Outcome
Ashrafganjoei, Tahereh; Mohamadianamiri, Mahdiss; Farzaneh, Farah; Hosseini, Maryam Sadat; Arab, Maliheh;
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 Abstract
Purpose: The current study aimed at assessing the association between neutrophil-lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) for the prognosis of the surgical outcome of epithelial ovarian cancer (EOC). Materials and Methods: EOC patient medical records of surgical operations between January, 2005 and December, 2015 were reviewed and their data of clinicopathological complete blood counts (CBCs) and surgical outcomes were collected. To assess their effects on surgical outcomes, PLR and NLR optimal predictive values were determined and then compared with each other. Results: A statistically significant relation was found between surgical outcomes and NLR and PLR (p<0.001 and p<0.001), for which new cutoff points were gained (PLR: 192,3,293; NLR: 3). The sensitivity and specificity were 0.74 and 0.67, respectively for PLR and 0.74 and 0.58, for NLR. Conclusions: NLR and PLR seem to be useful methods for the prediction of surgical outcomes in patients with EOCs. Increased NLR and PLR proved to be beneficial for poor surgical outcomes. Moreover, PLR increase showed further help in the predicting outcome of EOC suboptimal debulking.
 Keywords
Neutrophil-lymphocyte ratio;platelet-lymphocyte ratio;ovarian masses;optimal debulking;outcome;
 Language
English
 Cited by
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The platelet-to-lymphocyte ratio as a predictor of patient outcomes in ovarian cancer: a meta-analysis, Climacteric, 2017, 20, 5, 448  crossref(new windwow)
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The diagnostic efficacy of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in ovarian cancer, Inflammation Research, 2017, 66, 6, 467  crossref(new windwow)
3.
Role of Intracystic Cytokines and Nitric Oxide in Ovarian Neoplasms, Scandinavian Journal of Immunology, 2017, 86, 6, 462  crossref(new windwow)
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