Nomograms as predictive models
Copyright policy )Nomograms as predictive models
Nomograms are valuable tools for estimating the likelihood of cancer being diagnosed, the pathologic features of a localized cancer, and the prognosis of a patient after treatment. Although the available nomograms are reasonably accurate, better predictive factors including additional clinical factors and new molecular analyses are needed to improve the accuracy or predictions. Nomogram performance will also be enhanced with larger datasets of patients and longer follow-up. We review the concepts of risk stratification and the development and use of nomograms as predictive tools.
- Memorial Sloan Kettering Cancer Center United States
Male, Models, Statistical, Outcome Assessment, Health Care, Humans, Prostatic Neoplasms, Expert Systems, Prognosis, Sensitivity and Specificity, Severity of Illness Index
Male, Models, Statistical, Outcome Assessment, Health Care, Humans, Prostatic Neoplasms, Expert Systems, Prognosis, Sensitivity and Specificity, Severity of Illness Index
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).92 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!