Literature DB >> 33587753

A novel prognostic nomogram utilizing the 2018 FIGO staging system for cervical cancer: A large multicenter study.

Xiaoyan Tang1,2,3, Chenyan Guo1,2,3, Songping Liu4, Jingjing Guo1,2,3, Keqin Hua1,2,3, Junjun Qiu1,2,3.   

Abstract

OBJECTIVE: To evaluate the prognostic performance of the revised 2018 FIGO staging system for cervical cancer.
METHODS: This retrospective multicenter study enrolled cervical cancer patients with 2009 FIGO Stage IA1-IIA2 who underwent surgeries between January 2006 and December 2017 in four tertiary hospitals. Patients were restaged according to the 2018 FIGO staging system by reviewing their medical data.
RESULTS: Of 3238 cervical cancer patients included, 1841 (56.9%) patients were restaged: 641 (34.9%) due to tumor size, 544 (29.5%) due to lymph node metastasis, 614 (33.4%) due to the inconsistency between pre- and postoperative assessments, and 42 due to the cancellation of invasion width in Stage IA. After restaging, a clear tendency of decreased recurrence-free survival (RFS) and overall survival (OS) with increasing stage was observed. Multivariate Cox analysis showed that 2018 FIGO stage, parametrial involvement, and histology were independent prognostic factors for both OS and RFS (P < 0.05). Based on these factors, we established predictive nomograms with c-indexes of 0.735 and 0.721, showing good predictive ability for cervical cancer.
CONCLUSION: The revised 2018 FIGO staging system can better reflect the survival of cervical cancer patients. Based on it, we established a nomogram that can predict the prognosis of cervical cancer patients more precisely.
© 2021 International Federation of Gynecology and Obstetrics.

Entities:  

Keywords:  2018 FIGO staging system; cervical cancer; nomogram; prognosis

Year:  2021        PMID: 33587753     DOI: 10.1002/ijgo.13644

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  7 in total

1.  Nomograms Predicting Survival of Cervical Cancer Patients Treated With Concurrent Chemoradiotherapy Based on the 2018 FIGO Staging System.

Authors:  Qingyu Meng; Weiping Wang; Xiaoliang Liu; Dunhuang Wang; Fuquan Zhang
Journal:  Front Oncol       Date:  2022-05-11       Impact factor: 5.738

2.  Nomogram Predicting Overall Survival in Patients with FIGO II to III Squamous Cell Cervical Carcinoma Under Radical Radiotherapy: A Retrospective Analysis Based on 2018 FIGO Staging.

Authors:  Lele Zang; Qin Chen; Xiaozhen Zhang; Xiaohong Zhong; Jian Chen; Yi Fang; An Lin; Min Wang
Journal:  Cancer Manag Res       Date:  2021-12-29       Impact factor: 3.989

3.  Development and validation of a prognostic nomogram for 2018 FIGO stages IB1, IB2, and IIA1 cervical cancer: a large multicenter study.

Authors:  Xiaolin Chen; Hui Duan; Ping Liu; Lihong Lin; Yan Ni; Donglin Li; Encheng Dai; Xuemei Zhan; Pengfei Li; Zhifeng Huo; Xiaonong Bin; Jinghe Lang; Chunlin Chen
Journal:  Ann Transl Med       Date:  2022-01

4.  A Research Study to Measure the Efficacy of Terminating Cervical Cancer via Customized Optimum Pathway.

Authors:  Xianyu Zhang; Huan Ma; Xiurong Lu; Zhilin Zhang
Journal:  J Healthc Eng       Date:  2022-03-15       Impact factor: 2.682

5.  Development and Validation of a Nomogram for Predicting Postoperative Distant Metastasis in Patients with Cervical Cancer.

Authors:  Weihong Zeng; Lishan Huang; Haihong Lin; Ru Pan; Haochang Liu; Jizhong Wen; Ye Liang; Haikun Yang
Journal:  Med Sci Monit       Date:  2022-04-12

6.  Predicting the Recurrence of Operable Cervical Cancer Patients Based on Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score and Classical Clinicopathological Parameters.

Authors:  Peng Jiang; Wei Kong; Chunxia Gong; Yanlin Chen; Fenglian Li; Lingya Xu; Yang Yang; Shikai Gou; Zhuoying Hu
Journal:  J Inflamm Res       Date:  2022-09-12

7.  Diagnostic Value of Combined Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging with Diffusion Tensor Imaging in Predicting Parametrial Infiltration in Cervical Cancer.

Authors:  Ting-Ting Lin; Xin-Xiang Li; Wei-Fu Lv; Jiang-Ning Dong; Chao Wei; Ting-Ting Wang; Chuan-Bin Wang; Ping Zhang
Journal:  Contrast Media Mol Imaging       Date:  2021-05-11       Impact factor: 3.161

  7 in total

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