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STAT!Ref Announcements: MedCalc 3000 Webinar with Dr. Louis Leff

Join Dr. Louis Leff Feb. 23rd 1:00 - 1:35 p.m. EST for a Webinar about MedCalc 3000, which is a collection of over 400 calculators, clinical criteria sets and decision trees that are indispensable to anyone practicing, teaching or studying evidence-based medicine. This resource is integrated in to STAT!Ref and included with every subscription.

Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/335651785. Space is limited. After registering you will receive a confirmation email containing information about joining the Webinar.

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MedCalc3000

MedCalc 3000 is a unique computerized medical reference and tool set. MedCalc 3000 encompasses a wide array of pertinent medical formulae, clinical criteria sets and decision tree analysis tools used everyday by clinicians, medical educators, nurses and health care students of all types. With the growing emphasis and application of Evidence Based Medicine, there has never been a greater need for a system such as MedCalc 3000. Medical error detection and elimination are also hot topics in the new millennium. MedCalc 3000 can help in these areas as well.
 
To practice, teach and learn medicine based on solid, literature based data, practitioners are easily overwhelmed by the breadth of information that they must master. MedCalc 3000 helps simplify this task by assembling easy to use, interactive tools used to learn Evidence Based Medicine.

To learn more about MedCalc 3000, check out our tutorial: MedCalc 3000 Tutorial

Spotlight MedCalc 3000: Diabetes Risk Score (Type 2)

Terms = 6.322 - Sex - RxHTN - RxSteroids - (0.063 * Age) - BMI - FMH - Smoker

Risk = 100 / (1 + eTo(Terms))

Input:

Sex	Female (-0.879)
	Male (0)
Rx HTN	On HTN meds (1.222 )
	No HTN meds (0)
Rx Steroids	On steroids (2.191)
	Not on steroids (0)
Age		day hr milsec min sec yr
BMI	Body Mass Index < 25 (0)
	25 - 27.49 (0.699)
	27.5 - 29.99 (1.97)
	>= 30 (2.518)
FMH	No 1st degree family members with diabete (0)
	Parent OR sib with DM (0.728)
	Parent AND sib with DM (0.753)
Smoker	Patient is a non smoker (0)
	Patient used to smoke (-0.218)
	Patient is a smoker (0.855)

Note: Equation parameters such as Sex have two or more discrete values that may be used in the calculation. The numbers in the parentheses, e.g. (-0.879), represent the values that will be used.

Results:

Terms		# index none number points score
Risk		% 1:1000 1:100 1:10 fraction ratio
Decimal Precision: 0 1 2 3 4 5 6 7 8 9

References

Griffin SJ, Little PS, Hales CN, et al. Diabetes risk score: towards earlier detection of Type 2 diabetes in general practice. Diabet Metab Res Rev. 2000; 16: 164-71.

Legal Notices and Disclaimer All information contained in and produced by the MedCalc 3000 system is provided for educational purposes only. This information should not be used for the diagnosis or treatment of any health problem or disease. THIS INFORMATION IS NOT INTENDED TO REPLACE CLINICAL JUDGMENT OR GUIDE INDIVIDUAL PATIENT CARE IN ANY MANNER. Click here for full notice and disclaimer. MedCalc 3000 is Copyright © 1998-2007 Foundation Internet Services, LLC