Presentation of multivariate data for clinical use: The Framingham Study risk score functions

By Lisa Sullivan, J. Massaro, R. D’Agostino. 2004

1,630 citations recorded by the source corpus.

Subfields: Endocrinology, Diabetes and Metabolism

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Endocrinology, Diabetes and Metabolism

1. Douglas G. Altman
2. M. Woodward
3. Karel G. M. Moons
4. A. Kengne

Citations in the corpus

• AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (2020, background): “Sullivan et al [15] suggested that the multivariable mathematical models are relatively complex, and the calculation should be simplified to allow application of models even without a computer, making these complex statistical models useful to clinical practitioners.”
• A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology (2012, methodology): “score systems obtained by approximating a logistic regression model (see [21]).”
• Development of Hong Kong Liver Cancer staging system with treatment stratification for patients with hepatocellular carcinoma. (2014, methodology): “4 factors was derived by the method described by Sullivan et al.(32) Clinical knowledge in addition to the relative point of each factor was involved in the proposal of prognostic stages.”
• Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker (2012, background): “A model can also be presented as a simplified but approximate model or scoring rule when the original predictor weights (regression coefficients) are converted and rounded to numbers that are easy to add, which are then related to absolute outcome probabilities.(77) How this approximation is done ha”
• A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data (2009, methodology): “We also used accepted methods to modify our final model into a scoring system.(12) Explicit tests of discrimination show that our comorbidity score reliably gauges patient comorbidity and its effect on in-hospital mortality.”