Volume 24 Issue 3
Mar.  2026
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Article Navigation >  Chinese Journal of General Practice  > 2026  >  24(3): 415-419
WANG Chunyan, ZHOU Lanzhu. A predictive model for cervical lymph node metastasis in differentiated thyroid carcinoma based on PLT, NLR, PLR, and thyroid function parameters[J]. Chinese Journal of General Practice, 2026, 24(3): 415-419. doi: 10.16766/j.cnki.issn.1674-4152.004409
Citation: WANG Chunyan, ZHOU Lanzhu. A predictive model for cervical lymph node metastasis in differentiated thyroid carcinoma based on PLT, NLR, PLR, and thyroid function parameters[J]. Chinese Journal of General Practice, 2026, 24(3): 415-419. doi: 10.16766/j.cnki.issn.1674-4152.004409
shu

A predictive model for cervical lymph node metastasis in differentiated thyroid carcinoma based on PLT, NLR, PLR, and thyroid function parameters

doi: 10.16766/j.cnki.issn.1674-4152.004409
  • 1.

    Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui 233000, China

Funds:

 2023AH051977

  • Received Date: 2025-11-03
    Available Online: 2026-06-02
    Abstract
  •   Objective  To analyze the relationship between platelet count (PLT), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), thyroid function related indicators, and cervical lymph node metastasis in differentiated thyroid cancer (DTC), and to provide a reference for optimizing the diagnosis and treatment strategy of DTC patients.  Methods  A total of 221 DTC patients admitted to the First Affiliated Hospital of Bengbu Medical University between January 2020 and January 2024 were enrolled. According to the presence or absence of cervical lymph node metastasis (LNM), the patients were divided into a metastasis group (n = 78) and a non-metastasis group (n = 143). Differences in PLT, NLR, PLR, and thyroid function-related indicators were compared between the two groups. Multivariate logistic regression analysis was used to analyze the influencing factors for DTC with cervical lymph node metastasis. ROC curves were plotted to evaluate the predictive performance of each independent risk factor individually and in combination for DTC with cervical lymph node metastasis.  Results  The proportion of patients in clinical stage Ⅱ, as well as the levels of PLT, NLR, PLR, thyroid-stimulating hormone (TSH), and thyroglobulin (Tg), were higher in the metastasis group than in the non-metastasis group (P < 0.05). Binary logistic regression analysis showed that clinical stage, PLT, NLR, PLR, TSH, and Tg were independent risk factors for DTC with cervical lymph node metastasis (P < 0.05). A nomogram risk prediction model for DTC with cervical lymph node metastasis was established. ROC analysis showed that the areas under the curve (AUC) for clinical stage, PLT, NLR, PLR, TSH, Tg, and the nomogram prediction model were 0.573, 0.720, 0.613, 0.738, 0.751, 0.718, and 0.898, respectively.  Conclusion  Clinical stage Ⅱ and elevated PLT, NLR, PLR, TSH, and Tg are independent risk factors for DTC with cervical lymph node metastasis. The nomogram prediction model constructed based on these factors demonstrates high predictive performance and clinical utility.

     

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