Nomograms in Oncology – More than Meets the Eye
By V. Balachandran, Mithat Gonen, J. J. Smith, R. DeMatteo. The Lancet Oncology, 2015
2,652 citations recorded by the source corpus.
Summary Nomograms are commonly used tools to estimate prognosis in oncology and medicine. With the ability to generate an individual numerical probability of a clinical event by integrating diverse prognostic and determinant variables, nomograms fulfill our desire for biologically and clinically integrated models and our drive towards personalized medicine. Rapid computation through user friendly digital interfaces, together with increased accuracy, and more easily understood prognoses compared to conventional staging, allow for seamless incorporation of nomogram derived prognosis to aid in clinical decision making. This has lead to the ubiquitous appearance of nomograms on the internet and in medical journals, and increasing nomogram use by patients and physicians alike. However, the statistical foundations of nomogram construction, their precise interpretation, and evidence supporting their use is commonly misunderstood, leading to an under appreciation of the inherent uncertainties regarding nomogram use. We provide a systematic, practical approach to evaluating and comprehending nomogram derived prognoses, with particular emphasis on clarifying common misconceptions and highlighting limitations.
Subfields: Cancer Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/94283d259a506af9a4afd2a5fb8cb495ed01b64e
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Citations in the corpus
- Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. (2016, methodology): “Both physicians and patients could perform a preoperative individualized prediction of the risk of LN metastasis with this easy-to-use scoring system, which is in line with the current trend toward personalized medicine.(37) The most important and final argument for the use of the nomogram is based ”