Volume 19 Issue 4
Apr.  2021
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Article Navigation >  Chinese Journal of General Practice  > 2021  >  19(4): 674-678
TAO Run, GUAN Han, LIU Yan-shen, ZHOU Wen-sheng. Multivariate analysis of prognosis and nomogram construction of cystadenocarcinoma based on SEER database[J]. Chinese Journal of General Practice, 2021, 19(4): 674-678. doi: 10.16766/j.cnki.issn.1674-4152.001891
Citation: TAO Run, GUAN Han, LIU Yan-shen, ZHOU Wen-sheng. Multivariate analysis of prognosis and nomogram construction of cystadenocarcinoma based on SEER database[J]. Chinese Journal of General Practice, 2021, 19(4): 674-678. doi: 10.16766/j.cnki.issn.1674-4152.001891
shu

Multivariate analysis of prognosis and nomogram construction of cystadenocarcinoma based on SEER database

doi: 10.16766/j.cnki.issn.1674-4152.001891

  • Department of Urology, the First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, China

Funds:

 1808085MH293

  • Received Date: 2020-07-15
    Available Online: 2022-02-16
    Abstract
  •   Objective  This study aimed to establish a nomogram model that can individually predict the prognosis of patients with bladder adenocarcinoma (ACB) by studying the independent prognostic risk factors.  Methods  Clinical data of patients diagnosed with ACB from 2004 to 2015 in the SEER database were collected for screening. A total of 659 patients with adenocarcinoma who met the study conditions were included for retrospective analysis. COX univariate regression analysis was performed on all variables using Empower stat software, and P < 0.05 was analysed. Variables of 0.05 were included in COX multivariate regression analysis. Independent prognostic risk factors determined in COX multivariate regression analysis were constructed into a survival nomogram model using R language. The bootstrap method was used to perform 1 000 times of equal number of repeated sampling to verify the model.  Results  Age > 70 years, tumour size>3 cm, T3, T4, N1, N2 and M1 were independent risk factors affecting the survival time of patients. The established alignment curve of the nomogram has a high consistency with the ideal curve and high applicability and accuracy after internal verification.  Conclusion  In this study, the seer database was used to determine the independent risk factors for the prognosis of ACB patients, and the first nomogram model was established to individually predict the survival prognosis of ACB patients and guide clinicians in selecting reasonable treatment options and conducting accurate individualised assessment of the prognosis of different patients.

     

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