Literature DB >> 20172360

What is a real nomogram?

Michael W Kattan1, Joe Marasco.   

Abstract

The current resurgence in the use of nomograms as diagnostic and prognostic tools has legitimate roots in their effectiveness in facilitating communication between the doctor and patient. By returning to a more classical approach to nomography, graphical insights can further enlighten the patient beyond what can be achieved with current methods, while at the same time simplifying the process. We propose a going-forward extension that addresses the issue of further use of computing technology to continue to enhance understanding. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20172360     DOI: 10.1053/j.seminoncol.2009.12.003

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  18 in total

1.  Preoperative nomograms incorporating magnetic resonance imaging and spectroscopy for prediction of insignificant prostate cancer.

Authors:  Amita Shukla-Dave; Hedvig Hricak; Oguz Akin; Changhong Yu; Kristen L Zakian; Kazuma Udo; Peter T Scardino; James Eastham; Michael W Kattan
Journal:  BJU Int       Date:  2011-09-20       Impact factor: 5.588

2.  External validation of a pre-operative nomogram predicting peri-operative mortality risk after liver resections for malignancy.

Authors:  Mashaal Dhir; Srinevas K Reddy; Lynette M Smith; Fred Ullrich; James Wallis Marsh; Allan Tsung; David A Geller; Chandrakanth Are
Journal:  HPB (Oxford)       Date:  2011-09-16       Impact factor: 3.647

Review 3.  Everything you always wanted to know about evaluating prediction models (but were too afraid to ask).

Authors:  Andrew J Vickers; Angel M Cronin
Journal:  Urology       Date:  2010-10-27       Impact factor: 2.649

4.  Drawing Nomograms with R: applications to categorical outcome and survival data.

Authors:  Zhongheng Zhang; Michael W Kattan
Journal:  Ann Transl Med       Date:  2017-05

5.  Pre-operative nomogram to predict risk of peri-operative mortality following liver resections for malignancy.

Authors:  Mashaal Dhir; Lynette M Smith; Fred Ullrich; Premila D Leiphrakpam; Quan P Ly; Aaron R Sasson; Chandrakanth Are
Journal:  J Gastrointest Surg       Date:  2010-09-08       Impact factor: 3.452

6.  Validation of nomograms for overall survival, cancer-specific survival, and recurrence in carcinoma of the major salivary glands.

Authors:  Ashley Hay; Jocelyn Migliacci; Daniella Karassawa Zanoni; Snehal Patel; Changhong Yu; Michael W Kattan; Ian Ganly
Journal:  Head Neck       Date:  2018-02-01       Impact factor: 3.147

7.  Using the Dutch multi-informant Strengths and Difficulties Questionnaire (SDQ) to predict adolescent psychiatric diagnoses.

Authors:  J Vugteveen; A De Bildt; C A Hartman; M E Timmerman
Journal:  Eur Child Adolesc Psychiatry       Date:  2018-02-24       Impact factor: 4.785

Review 8.  Multiparametric magnetic resonance imaging in the management and diagnosis of prostate cancer: current applications and strategies.

Authors:  Daniel J Lee; Hashim U Ahmed; Caroline M Moore; Mark Emberton; Behfar Ehdaie
Journal:  Curr Urol Rep       Date:  2014-03       Impact factor: 3.092

9.  Nomograms predictive for oncological outcomes in malignant parotid tumours: recurrence and mortality rates of 228 patients from a single institution.

Authors:  Giuditta Mannelli; Franchi Alessandro; Fasolati Martina; Cecconi Lorenzo; Alessandra Bettiol; Alfredo Vannacci; Gallo Oreste
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-07-25       Impact factor: 3.236

10.  Visualizing Risk Prediction Models.

Authors:  Vanya Van Belle; Ben Van Calster
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

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