• Profile
Close

Predictive models of disease burden at diagnosis in persons with adult-onset ulcerative colitis using health administrative data

BMC Gastroenterology Jan 27, 2019

Murthy SK, et al. - This is the first study investigating the utility of administrative data to discriminate different levels of ulcerative colitis (UC) disease burden at diagnosis. Using Ontario health administrative data, researchers developed predictive models of disease burden at diagnosis in UC patients for future use in population-based studies of incident UC cohorts. They characterized macroscopic colitis activity and extent at diagnosis in consecutive adult-onset UC patients diagnosed at The Ottawa Hospital between 2001 and 2012 through chart review. For 587 eligible patients, 20 administrative variables were tested. In adult-onset UC patients, Ontario health administrative data might reasonably discriminate levels of total disease burden at diagnosis. The models should be externally validated before they are widely used in future population-based studies of incident UC cohorts to adjust to the confounding effects of disease burden differences.

Full text available Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
  • Exclusive Write-ups & Webinars by KOLs

  • Nonloggedininfinity icon
    Daily Quiz by specialty
  • Nonloggedinlock icon
    Paid Market Research Surveys
  • Case discussions, News & Journals' summaries
Sign-up / Log In
x
M3 app logo
Choose easy access to M3 India from your mobile!


M3 instruc arrow
Add M3 India to your Home screen
Tap  Chrome menu  and select "Add to Home screen" to pin the M3 India App to your Home screen
Okay