Literature DB >> 19544538

Nomograms for staging, prognosis, and predicting treatment outcomes.

Karim Touijer1, Peter T Scardino.   

Abstract

Prostate cancer is a heterogeneous disease with a wide prognostic spectrum and a variety of treatment options. Such a complex clinical scenario has led to uncertainty in risk assessment and prediction of outcome. Nomograms have served as scientific formulas designed to maximize the predictive accuracy. The use of nomograms in prostate cancer has been applied to many clinical states and outcomes and has provided the most accurate predictions. Cancer 2009;115(13 suppl):3107-11. (c) 2009 American Cancer Society.

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Year:  2009        PMID: 19544538     DOI: 10.1002/cncr.24352

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  65 in total

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Authors:  Alexandra C Newton; Lloyd C Trotman
Journal:  Annu Rev Pharmacol Toxicol       Date:  2014       Impact factor: 13.820

2.  External validation of a nomogram predicting overall survival of patients diagnosed with endometrial cancer.

Authors:  Stephan Polterauer; Qin Zhou; Christoph Grimm; Veronika Seebacher; Alexander Reinthaller; Gerda Hofstetter; Nicole Concin; Mario M Leitao; Richard R Barakat; Nadeem R Abu-Rustum; Alexia Iasonos
Journal:  Gynecol Oncol       Date:  2012-03-23       Impact factor: 5.482

3.  Prediction of early discharge after gynaecological oncology surgery within ERAS.

Authors:  Eric Lambaudie; Jérome Mathis; Christophe Zemmour; Camille Jauffret-Fara; Elie Toni Mikhael; Camille Pouliquen; Renaud Sabatier; Clément Brun; Marion Faucher; Djamel Mokart; Gilles Houvenaeghel
Journal:  Surg Endosc       Date:  2019-07-15       Impact factor: 4.584

4.  Validation and Comparison of Nomograms in Predicting Disease-Specific Survival for Papillary Thyroid Carcinoma.

Authors:  Brian Hung-Hin Lang; Carlos K H Wong
Journal:  World J Surg       Date:  2015-08       Impact factor: 3.352

5.  Risk factors of cardiac surgery-associated acute kidney injury: development and validation of a perioperative predictive nomogram.

Authors:  Chen Guan; Chenyu Li; Lingyu Xu; Li Zhen; Yue Zhang; Long Zhao; Bin Zhou; Lin Che; Yanfei Wang; Yan Xu
Journal:  J Nephrol       Date:  2019-06-26       Impact factor: 3.902

6.  A nomogram for predicting the risk of postoperative recurrence of hepatitis B virus-related hepatocellular carcinoma in patients with high preoperative serum glutamyl transpeptidase.

Authors:  Jia-Si Zhang; Zhi-Heng Wang; Xing-Gang Guo; Ji Zhang; Jun-Sheng Ni
Journal:  J Gastrointest Oncol       Date:  2022-02

7.  Risk-scoring model for prediction of non-home discharge in epithelial ovarian cancer patients.

Authors:  Mariam M AlHilli; Christine W Tran; Carrie L Langstraat; Janice R Martin; Amy L Weaver; Michaela E McGree; Andrea Mariani; William A Cliby; Jamie N Bakkum-Gamez
Journal:  J Am Coll Surg       Date:  2013-06-29       Impact factor: 6.113

8.  Upregulation of long non-coding RNA TUG1 correlates with poor prognosis and disease status in osteosarcoma.

Authors:  Bing Ma; Meng Li; Lei Zhang; Ming Huang; Jun-Bin Lei; Gui-Hong Fu; Chun-Xin Liu; Qi-Wen Lai; Qing-Quan Chen; Yi-Lian Wang
Journal:  Tumour Biol       Date:  2015-10-25

9.  Development and validation of a novel nomogram for predicting distant metastasis-free survival among breast cancer patients.

Authors:  Yan Wang; Yaping Yang; Zhengbo Chen; Teng Zhu; Jiannan Wu; Fengxi Su; Heran Deng
Journal:  Ann Transl Med       Date:  2019-10

10.  A nomogram based on CENPP expression for survival prediction in breast cancer.

Authors:  Heyan Chen; Shengyu Pu; Shibo Yu; Xiaoqin Liao; Jianjun He; Huimin Zhang
Journal:  Gland Surg       Date:  2021-06
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