The Karakiewicz nomogram is the most useful clinical predictor for survival outcomes in patients with localized renal cell carcinoma (Q84090585)

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31 January 2020

title

The Karakiewicz nomogram is the most useful clinical predictor for survival outcomes in patients with localized renal cell carcinoma (English)

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31 January 2020

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Min-Han Tan

1

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31 January 2020

Huihua Li

2

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31 January 2020

Caroline Victoria Choong

3

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31 January 2020

Kee Seng Chia

4

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31 January 2020

Chee Keong Toh

5

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31 January 2020

Tiffany Tang

6

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31 January 2020

Puay Hoon Tan

7

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31 January 2020

Chin Fong Wong

8

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31 January 2020

Weber Lau

9

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31 January 2020

Christopher Cheng

10

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31 January 2020

publication date

12 May 2011

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31 January 2020

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31 January 2020

volume

117

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31 January 2020

issue

23

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31 January 2020

page(s)

5314-5324

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Prognostic models and algorithms in renal cell carcinoma

31 January 2020

cites work

1 reference

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7 January 2021

Comparison of predictive accuracy of four prognostic models for nonmetastatic renal cell carcinoma after nephrectomy: a multicenter European study.

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7 January 2021

Do we need more nomograms for predicting outcomes in patients with prostate cancer?

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Mathematical models for prognostic prediction in patients with renal cell carcinoma

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7 January 2021

Predicting clinical end points: treatment nomograms in prostate cancer

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Validation of the current prognostic models for nonmetastatic renal cell carcinoma after nephrectomy in Chinese population: a 15-year single center experience

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7 January 2021

Effect of covariate measurement error in randomized clinical trials

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7 January 2021

Multi-institutional validation of a new renal cancer-specific survival nomogram

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7 January 2021

A POSTOPERATIVE PROGNOSTIC NOMOGRAM PREDICTING RECURRENCE FOR PATIENTS WITH CONVENTIONAL CLEAR CELL RENAL CELL CARCINOMA

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7 January 2021

Comparison of the UCLA Integrated Staging System and the Leibovich score in survival prediction for patients with nonmetastatic clear cell renal cell carcinoma

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7 January 2021

Correlation between symptom graduation, tumor characteristics and survival in renal cell carcinoma.

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7 January 2021

Case complexity scores in congenital heart surgery: a comparative study of the Aristotle Basic Complexity score and the Risk Adjustment in Congenital Heart Surgery (RACHS-1) system

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7 January 2021

Prediction of progression after radical nephrectomy for patients with clear cell renal cell carcinoma: a stratification tool for prospective clinical trials

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7 January 2021

Clinical benefits of a multivariate prediction model for bladder cancer: a decision analytic approach

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7 January 2021

Benefit of adjuvant chemotherapy for resectable gastric cancer: a meta-analysis

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7 January 2021

Adjuvant therapy in stage II colon cancer: current approaches

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7 January 2021

Absolute benefits of medical therapies in phase III clinical trials for breast and colorectal cancer

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7 January 2021

Sunitinib versus interferon alfa in metastatic renal-cell carcinoma

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7 January 2021

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7 January 2021

A critical appraisal of logistic regression-based nomograms, artificial neural networks, classification and regression-tree models, look-up tables and risk-group stratification models for prostate cancer

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7 January 2021

Comparison of Cox Regression With Other Methods for Determining Prediction Models and Nomograms

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7 January 2021

Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer

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7 January 2021

Nomograms provide improved accuracy for predicting survival after radical cystectomy.

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7 January 2021

Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature

1 reference

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7 January 2021

Identifiers

DOI

10.1002/CNCR.26193

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:21567386%20AND%20SRC:MED&resulttype=core&format=json

31 January 2020

1 reference