Re: Standards for inclusion/exclusion criteria ?

HI,

thanks and sorry for the late reply. I have been doing a bit of reading.
Let's say I am up2date until more or less the date of your review (2007).

First, I wonder if something new come out since then (rather than evolutions of approaches/standards already existing).

Second, I got the impression that rationales to standardize clinical trials criteria vary a lot. Mining EHRs for candidates has different requirements from criteria re-use, which in turns has different requirements from (trials) discovery. 
I was looking for some sampling of criteria in use in clinical trials. Could not find anything (at least open). Does anybody have some pointer in this direction ?


best,
Andrea



Il giorno 15/lug/2013, alle ore 07:21, Kathrin Dentler <k.dentler@vu.nl> ha scritto:

> Hi Andrea,
> 
> For a first broad overview, this paper is a good starting point:
> Formal representation of eligibility criteria: A literature review
> http://www.sciencedirect.com/science/article/pii/S1532046409001592
> 
> For CDISC, there is ongoing work on OWL/RDF formats:
> http://www.cancer.gov/cancertopics/cancerlibrary/terminologyresources/cdisc
> http://kerfors.blogspot.nl/2012/05/semantic-models-for-cdisc-based.html
> 
> Best,
> Kathrin
> 
> 
> 
> Op 7/15/13 1:34 AM, Andrea Splendiani schreef:
>> Hi,
>> 
>> I was wondering if somebody could provide some pointer to work going on in an area that is related to clinical trials: inclusion and exclusion criteria.
>> (I have followed the recent thread on encoding Hamilton Disease and pointers).
>> 
>> In, particular, I am interested in two things:
>> Standards with substantial uptake (sub question: is CDISC's uptake actual or perspective ?).
>> 
>> Modeling of inclusion/exclusion criteria, but with a particular twist: not modeling the questions, but the facts that are queried. Basically I am interested in modeling patients and conditions (to the level of detail required "usually" required by clinical trials). The subject itself can be very vast, but is there a framework which provides at least an upper perspective on how to model subjects's features, diseases, interventions, samples (also respect to time) ?
>> 
>> Any pointer is welcome!
>> 
>> best,
>> Andrea Splendiani
>> 
>> 
> 
> 
> -- 
> Kathrin Dentler
> 
> AI Department         |   Department of Medical Informatics
> Faculty of Sciences   |   Academic Medical Center
> Vrije Universiteit    |   Universiteit van Amsterdam
> k.dentler@vu.nl       |   k.dentler@amc.uva.nl
> 
> http://www.few.vu.nl/~kdr250/
> 
>

Received on Monday, 22 July 2013 21:16:43 UTC