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92Medical Data Mining  2019, Vol. 2 Issue (1): 1-9    DOI: 10.12032/mdm2018011
    
Reanalysis of Lymph node metastasis as predictor of the survival of patients with follicular variant papillary thyroid carcinoma:From SEER database 2004-2014
Jin Yang1,2, Qing-Qing Liu1,2, Hai-Rong He1, Hai-Sheng You3, Zhen-Yu Pan4, Jun Lyu1,2,5
1Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China; 2School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China, and 3Department of Pharmacy, The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, China, and 4Department of Pharmacy, The Affiliated Children Hospital of Xi'an Jiaotong University, Xi’an, Shaanxi, China;5Institute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, China
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Abstract  Background: Follicular variant papillary thyroid carcinoma (FVPTC) is the most common subset of papillary carcinoma. Lymph-node metastasis (LNM) is one of the main predictors of survival in PTC patients, but we found few data related to the correlation between LNM and FVPTC. We therefore aimed to elucidate the relationship between LNM and survival in patients with FVPTC. Method: Logistic regression models were used to determine the factors associated with LNM. The Cox proportional-hazards model was applied to assess the association between LNM and disease-specific mortality. Kaplan-Meier survival analysis and the log-rank test were used to estimate the disease-specific survival rates in patients with and without LNM. Results: In total, 1418 FVPTC patients were identified. The multivariate logistic regression model showed that age, female sex, being married, tumor size > 4cm and extrathyroidal extension and radiation were predictors of LNM. The multivariate Cox regression model showed that age, multifocality and radiation were risk factors of disease-specific mortality. Especially, LNM (p=0.271) did not independently predict disease-specific mortality. Kaplan-Meier survival analysis and the log-rank method also showed that LNM did not impact survival in FVPTC (p=0.235). Conclusion: Using data in the SEER database from 2004 to 2014, and after multivariate model correction, we found that age, multifocality and radiation were strongly related to disease-specific mortality. It is worth noting that LNM does not impact the survival of FVPTC patients.

Key wordsLNM      Risk factors      Survival      FVPTC patients      SEER database     
Published: 30 March 2019
R733  
Fund:  This study was supported by the National Social Science Foundation of China (No.16BGL183),the Natural Science Foundation of Shaanxi Province (No.2015JM8415), the Fundamental Research Funds for the Central Universities of China (No.2011jdhz55), the Clinical Research Award of the First Affiliated Hospital of Xi’an Jiaotong University of China (No.XJTU1AF-CRF-2016-021), and the Research Fund of Health Bureau of Xi’an (No. QFO1330).
Corresponding Authors: Jun Lyu, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China.E-mail:lujun2006@xjtu.edu.cn.     E-mail: lujun2006@xjtu.edu.cn
About author: Jun Lyu, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China.E-mail:lujun2006@xjtu.edu.cn.
Cite this article:

Jin Yang, Qing-Qing Liu, Hai-Rong He, Hai-Sheng You, Zhen-Yu Pan, Jun Lyu, . Reanalysis of Lymph node metastasis as predictor of the survival of patients with follicular variant papillary thyroid carcinoma:From SEER database 2004-2014. 92Medical Data Mining, 2019, 2(1): 1-9.

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https://www.tmrjournals.com/mdm/EN/10.12032/mdm2018011     OR     https://www.tmrjournals.com/mdm/EN/Y2019/V2/I1/1

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