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Exploration of IMDC model in patients with metastatic renal cell carcinoma using targeted agents: a meta-analysis
Jiang, Guiya; Chen, Shuqiu; Chen, Ming.
  • Jiang, Guiya; Southeast University. School of Medicine. CN
  • Chen, Shuqiu; Southeast University. School of Medicine. CN
  • Chen, Ming; Southeast University. School of Medicine. CN
Int. braz. j. urol ; 46(3): 328-340, May-June 2020. tab, graf
Article in English | LILACS | ID: biblio-1090598
ABSTRACT
ABSTRACT

Purpose:

To explore the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model application for predicting outcome of patients with metastatic renal cell carcinoma using targeted agents. Materials and

Methods:

We performed a literature review of 989 articles. The selecting process used preferred reporting items for systematic reviews and meta-analyses (PRISMA). All included studies were assessed by Newcastle-Ottawa scale. Results of individual studies were pooled using Stata 14.0 software.

Results:

A total of 17 articles were included. Most articles provided univariate and multivariate analysis of IMDC model prognosis. Combined HRs were 1.58 (95% CI 1.34-1.82) and 3.74 (95% CI 2.67-4.81) for univariate PFS of intermediate to favorable and poor to favorable respectively. In the category of multivariate PFS, combined HRs were 1.27 (95% CI 0.99-1.56) and 2.29 (95% CI 1.65-2.93) with intermediate to favorable and poor to favorable respectively. Regarding univariate OS, combined HRs were 1.93 (95% CI 1.62-2.24) and 6.25 (95% CI 4.18-8.31) with intermediate to favorable and poor to favorable respectively. With multivariate OS, combined HRs were 1.32 (95%CI 1.04-1.59) and 2.35 (95%CI 1.69-3.01) with intermediate to favorable and poor to favorable respectively.

Conclusion:

In summary, analysis of currently available clinical evidence indicated that IMDC model could be applied to classify patients with metastatic renal cell carcinoma using targeted agents. However, different types of targeted agents and various areas could affect the accuracy of the model. There was also a difference in predicting patients' PFS and OS.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Carcinoma, Renal Cell / Kidney Neoplasms Type of study: Observational study / Prognostic study / Risk factors / Systematic reviews Limits: Humans Language: English Journal: Int. braz. j. urol Journal subject: Urology Year: 2020 Type: Article Affiliation country: China Institution/Affiliation country: Southeast University/CN

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Full text: Available Index: LILACS (Americas) Main subject: Carcinoma, Renal Cell / Kidney Neoplasms Type of study: Observational study / Prognostic study / Risk factors / Systematic reviews Limits: Humans Language: English Journal: Int. braz. j. urol Journal subject: Urology Year: 2020 Type: Article Affiliation country: China Institution/Affiliation country: Southeast University/CN