Fibrinogen-to-Neutrophil Ratio as a New Predictor of Central Lymph Node Metastasis in Patients with Papillary Thyroid Cancer and Type 2 Diabetes Mellitus

Many patients have a higher risk of thyroid cancer if they have both papillary thyroid carcinoma (PTC) and Type 2 diabetes mellitus (T2DM). Meanwhile, the primary reason for local PTC recurrence is cervical lymph node metastasis. Therefore, the prognosis of patients affects how cervical lymph nodes...

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Bibliographic Details
Published in:Cancer management and research 2022-01, Vol.14, p.3493-3505
Main Authors: Zheng, Danni, Yang, Jiawen, Qian, Jiali, Jin, Lingli, Huang, Guanli
Format: Article
Language:English
Subjects:
Calibration
Cancer patients
Care and treatment
clnm
Complications and side effects
Datasets
Diabetes
Fibrin
Fibrinogen
fnr
Lymphatic system
Lymphocytes
Medical colleges
Medical prognosis
Medical research
Medicine, Experimental
Metastasis
Multivariate analysis
Neutrophils
nomogram
Nomograms
Original Research
Patients
Performance evaluation
predictor
Prognosis
ptc
Regression analysis
Risk factors
Surgery
Surgical outcomes
Thyroid cancer
Thyroxine
Type 2 diabetes
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Summary:Many patients have a higher risk of thyroid cancer if they have both papillary thyroid carcinoma (PTC) and Type 2 diabetes mellitus (T2DM). Meanwhile, the primary reason for local PTC recurrence is cervical lymph node metastasis. Therefore, the prognosis of patients affects how cervical lymph nodes are managed during surgery. Due to surgical complications such as laryngeal nerve palsy and hypocalcemia, it is still debatable whether to prevent central lymph node dissection (CLND). Predicting central lymph node metastasis (CLNM) is crucial to direct CLND. It is unclear how important the fibrinogen-to-neutrophil ratio (FNR) is in thyroid cancer, so we looked into how it might help patients with PTC and T2DM predict CLNM. Wenzhou Medical University's First Affiliated Hospital provided us with 413 patients with PTC and T2DM, randomly divided into a training set (N = 292) and a validation set (N = 121). Univariate and multivariate logistic regression analyses were used to identify independent risk factors. After constructing a nomogram, the validity of the model was evaluated. The maximum tumor diameter, high-density lipoprotein, thyroxine, triglyceride, lymphocyte, and FNR were all identified as independent risk factors by multivariate logistic regression analysis. The C index of the training set was 0.775, and the validation set was 0.654. In patients with PTC and T2DM, preoperative FNR was an independent risk factor for CLNM.
ISSN:1179-1322
1179-1322
DOI:10.2147/CMAR.S366270