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Clinical value of complete blood count ratio in benign and malignant thyroid diseases.

Authors :
Jiang C
Wu Y
Huang J
Wang Y
Cong H
Source :
Cancer epidemiology [Cancer Epidemiol] 2024 Oct; Vol. 92, pp. 102636. Date of Electronic Publication: 2024 Aug 07.
Publication Year :
2024

Abstract

Objective: To investigate the clinical value of blood routine derivative biomarkers and thyroid function biomarkers in differentiating different thyroid diseases.<br />Methods: The differences of blood routine derived indexes neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), platelet-large cell rate (P-LCR) and thyroid function indexes between benign and malignant thyroid diseases were compared, and the differences of each index between different benign thyroid diseases were further compared. Univariate regression analysis model was used to analyze the clinical value of various indexes. Receiver operating characteristic curve (ROC) was used to calculate the area under the curve (AUC).<br />Results: There were statistically significant differences in PLR, NLR and P-LCR between patients with benign and malignant thyroid diseases (P < 0.05 for each). The results of univariate logistic regression analysis showed that P < 0.05 for all indicators except LMR, when PLR and NLR value increased by 1, the risk of thyroid malignancy decreased by 1 % and 21 %, when P-LCR value increased by 1, the risk of thyroid malignancy increased by 4 %.<br />Conclusions: PLR, NLR and P-LCR are helpful to distinguish different benign thyroid diseases and to diagnose benign and malignant thyroid diseases.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1877-783X
Volume :
92
Database :
MEDLINE
Journal :
Cancer epidemiology
Publication Type :
Academic Journal
Accession number :
39116659
Full Text :
https://doi.org/10.1016/j.canep.2024.102636