Objective: To analyze the prognosis of anaplastic thyroid carcinoma (ATC) based on seer database and establish a Nomogram prediction model. Methods: SEER * Stat software was used to collect 715 cases of ATC diagnosed from 2004 to 2015 in the database. Univariate and multivariate Cox regression analysis, C-index evaluation model and Nomogram prediction model were used to analyze the prognostic factors of ATC patients. Results: Among the 715 ATC cases, 438 cases (61.3 %) were female and 277 cases (38.7 %) were male. Univariate analysis showed that age, AJCC stage, surgery, radiotherapy, chemotherapy, comprehensive treatment, number of resected lymph nodes, number of positive lymph nodes, and tumor size were the factors affecting the survival and prognosis of patients with ATC (P<0.05). Multivariate analysis showed that age ≥45 years old, T4b stage, M1 stage, tumor ≥65 mm, no lymph node resection, tumor recurrence and multiple malignant tumors were independent risk factors for poor prognosis in ATC patients, and surgery, chemotherapy and radiotherapy were independent protective factors (P<0.05). According to KM survival analysis, the prognosis of ATC patients was poor, and the survival rate of patients with advanced ATC was very low, with a 1-year survival rate of about 2 %. Conclusion: For ATC patients confined to the thyroid gland, it is recommended to actively receive treatment, which can prolong the survival period, but for patients with advanced ATC, the current treatment plan does not effectively prolong the survival period, so for such patients, supportive care or hospice care is considered as an alternative.
BAI Jinyu
,
WANG Cuifeng
. Prognostic analysis and Nomogram prediction model of anaplastic thyroid carcinoma based on seer database[J]. Journal of Baotou Medical College, 2023
, 39(8)
: 37
-43
.
DOI: 10.16833/j.cnki.jbmc.2023.08.008
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