Literature DB >> 15122742

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

Lisa M Sullivan1, Joseph M Massaro, Ralph B D'Agostino.   

Abstract

The Framingham Heart Study has been a leader in the development and dissemination of multivariable statistical models to estimate the risk of coronary heart disease. These models quantify the impact of measurable and modifiable risk factors on the development of coronary heart disease and can be used to generate estimates of risk of coronary heart disease over a predetermined period, for example the next 10 years. We developed a system, which we call a points system, for making these complex statistical models useful to practitioners. The system is easy to use, it does not require a calculator or computer and it simplifies the estimation of risk based on complex statistical models. This system represents an effort to make available a tool for clinicians to aid in their decision-making process regarding treatment and to assist them in motivating patients toward healthy behaviours. The system is also readily available to patients who can easily estimate their own coronary heart disease risk and monitor this risk over time. Copyright 2004 John Wiley & Sons, Ltd.

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Mesh:

Year:  2004        PMID: 15122742     DOI: 10.1002/sim.1742

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  505 in total

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3.  A Risk Score to Guide Cystatin C Testing to Detect Occult-Reduced Estimated Glomerular Filtration Rate.

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4.  A Prognostic Model to Predict Mortality among Non-Small-Cell Lung Cancer Patients in the U.S. Military Health System.

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5.  Development of a risk prediction model for transfusion in carotid endarterectomy and demonstration of cost-saving potential by avoidance of "type and screen".

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6.  Hospital Discharge Disposition of Stroke Patients in Tennessee.

Authors:  Jin S Cho; Zhen Hu; Nancy Fell; Gregory W Heath; Rehan Qayyum; Mina Sartipi
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7.  Development and Assessment of Risk Scores for Carbapenem and Extensive β-Lactam Resistance Among Adult Hospitalized Patients With Pseudomonas aeruginosa Infection.

Authors:  Sara Y Tartof; Jennifer L Kuntz; Lie H Chen; Rong Wei; Laura Puzniak; Yun Tian; Theresa M Im; Harpreet S Takhar; Sanjay Merchant; Thomas Lodise
Journal:  JAMA Netw Open       Date:  2018-10-05

8.  A new Elixhauser-based comorbidity summary measure to predict in-hospital mortality.

Authors:  Nicolas R Thompson; Youran Fan; Jarrod E Dalton; Lara Jehi; Benjamin P Rosenbaum; Sumeet Vadera; Sandra D Griffith
Journal:  Med Care       Date:  2015-04       Impact factor: 2.983

9.  New scoring model (DARSYM score) to predict post-discharge bleeding after successful second-generation drug-eluting stent implantation.

Authors:  Yohsuke Honda; Masahiro Yamawaki; Keisuke Hirano; Motoharu Araki; Norihiro Kobayashi; Yasunari Sakamoto; Shinsuke Mori; Masakazu Tsutumi; Takuro Takama; Takahiro Tokuda; Kenji Makino; Shigemitsu Shirai; Yoshiaki Ito
Journal:  Heart Vessels       Date:  2017-05-30       Impact factor: 2.037

10.  Serum sclerostin: the missing link in the bone-vessel cross-talk in hemodialysis patients?

Authors:  S Pelletier; C B Confavreux; J Haesebaert; F Guebre-Egziabher; J Bacchetta; M-C Carlier; L Chardon; M Laville; R Chapurlat; G M London; M-H Lafage-Proust; D Fouque
Journal:  Osteoporos Int       Date:  2015-04-25       Impact factor: 4.507

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