Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor | Zendy

Jiaxin Liu | Zendy; PeiYun Zhou | Zendy; Zheng Tang | Zendy; Wei Yuan | Zendy; Shen Shanshan | Zendy; Ren Lei | Zendy; Xing Zhengwen | Zendy; Yong Fang | Zendy; Xiaodong Gao | Zendy; Anwei Xue | Zendy; Kuntang Shen | Zendy; Hou Yingyong | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor

Author(s) -

Jiaxin Liu,

PeiYun Zhou,

Zheng Tang,

Wei Yuan,

Shen Shanshan,

Ren Lei,

Xing Zhengwen,

Yong Fang,

Xiaodong Gao,

Anwei Xue,

Kuntang Shen,

Hou Yingyong

Publication year - 2020

Publication title -

aging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.473

H-Index - 90

ISSN - 1945-4589

DOI - 10.18632/aging.103204

Subject(s) - nomogram , univariate , medicine , oncology , predictive value , multivariate analysis , concordance , gist , univariate analysis , rectum , multivariate statistics , proportional hazards model , mitotic index , stromal cell , risk stratification , statistics , mathematics , biology , mitosis , microbiology and biotechnology

Rectal gastrointestinal stromal tumors (RGISTs) are biologically characterized tumors that are relatively rare. Thus, few studies have reported a specific prognostic system for this subset of tumors but integrated it into parallel systems, such as small intestine. Our aim is to develop a new predictive staging system nomogram (named FD-ZS system) for RGISTs.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research