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  1. AU="Song, Zhenzhi"
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  3. AU="Fullarton, John"
  4. AU="Jacobsen, Elisabet"
  5. AU="Sándor Hosztafi"
  6. AU="Hayder, Z."
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  1. Artikel: Risk factors for central lymph node metastasis in patients with papillary thyroid carcinoma: a retrospective study.

    Du, Jiachen / Yang, Qing / Sun, Yixuan / Shi, Peng / Xu, Hao / Chen, Xiao / Dong, Tianyi / Shi, Wenjing / Wang, Yatong / Song, Zhenzhi / Shang, Xingchen / Tian, Xingsong

    Frontiers in endocrinology

    2023  Band 14, Seite(n) 1288527

    Abstract: Introduction: Thyroid cancer is the most prevalent endocrine malignancy, with its global incidence increasing annually in recent years. Papillary carcinoma is the most common subtype, frequently accompanied by cervical lymph node metastasis early on. ... ...

    Abstract Introduction: Thyroid cancer is the most prevalent endocrine malignancy, with its global incidence increasing annually in recent years. Papillary carcinoma is the most common subtype, frequently accompanied by cervical lymph node metastasis early on. Central lymph node metastasis (CLNM) is particularly the common metastasis form in this subtype, and the presence of lymph node metastasis correlates strongly with tumor recurrence. However, effective preoperative assessment methods for CLNM in patients with papillary thyroid carcinoma (PTC) remain lacking.
    Methods: Data from 400 patients diagnosed with PTC between January 1, 2018, and January 1, 2022, at the Shandong Provincial Hospital were retrospectively analyzed. This data included clinicopathological information of the patients, such as thyroid function, BRAF V600E mutation, whether complicated with Hashimoto's thyroiditis, and the presence of capsular invasion. Univariate and multivariate logistic regression analyses were performed to assess the risk factors associated with cervical CLNM in patients with PTC. Subsequently, a clinical prediction model was constructed, and prognostic risk factors were identified based on univariate and multivariate Cox regression analyses.
    Results: Univariate and multivariate analyses identified that age >45 years (P=0.014), body mass index ≥25 (P=0.008), tumor size ≥1 cm (P=0.001), capsular invasion (P=0.001), and the presence of BRAF V600E mutation (P<0.001) were significantly associated with an increased risk of CLNM. Integrating these factors into the nomogram revealed an area-under-the-curve of 0.791 (95% confidence interval 0.735-0.846) and 0.765 (95% confidence interval: 0.677-0.852) for the training and validation sets, respectively, indicating strong discriminative abilities. Subgroup analysis further confirmed that patients with papillary thyroid microcarcinoma and BRAF V600E mutations who underwent therapeutic central compartment neck dissection had significantly better 3-year disease-free survival than those who had prophylactic central compartment neck dissection (P<0.001).
    Conclusion: The study revealed that age >45 years, body mass index ≥25, tumor size ≥1 cm, BRAF V600E mutation, and capsular invasion are the related risk factors for CLNM in patients with PTC. For patients with clinically nodal-negative (cN0) papillary thyroid microcarcinoma, accurately identifying the BRAF V600E mutation is essential for guiding the central lymph node dissection approach and subsequent treatments.
    Mesh-Begriff(e) Humans ; Middle Aged ; Thyroid Cancer, Papillary/genetics ; Thyroid Cancer, Papillary/surgery ; Thyroid Cancer, Papillary/complications ; Retrospective Studies ; Lymphatic Metastasis ; Proto-Oncogene Proteins B-raf/genetics ; Models, Statistical ; Prognosis ; Neoplasm Recurrence, Local/complications ; Thyroid Neoplasms/genetics ; Thyroid Neoplasms/surgery ; Thyroid Neoplasms/pathology ; Risk Factors
    Chemische Substanzen Proto-Oncogene Proteins B-raf (EC 2.7.11.1)
    Sprache Englisch
    Erscheinungsdatum 2023-11-17
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1288527
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Buch: Zhonghua gu jin shi liao hui cui

    Liu, Yan / Song, Zhenzhi / Lu, Yanyao / Chen, Wenming

    (Zhonghua gu jin yao shan hui cui)

    1998  

    Titelübersetzung Best collection of ancient and contemporary Chinese diet therapy.
    Verfasserangabe zhu bian Liu Yan ; fu zhu bian Song Zhenzhi, Lu Yanyao ; bian wei Chen Wenming ... [et al.]
    Serientitel Zhonghua gu jin yao shan hui cui
    Mesh-Begriff(e) Diet Therapy ; Materia Medica ; Medicine, Chinese Traditional
    Sprache Chinesisch
    Umfang 2, 4, 705 p. ;, 21 cm.
    Ausgabenhinweis Di 1 ban.
    Verlag Beijing yi ke da xue, Zhongguo xie he yi ke da xue lian he chu ban she
    Erscheinungsort Beijing
    Dokumenttyp Buch
    ISBN 9787810348256 ; 7810348256
    Datenquelle Katalog der US National Library of Medicine (NLM)

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