Validation of an Online Knee Pain Map and Questionnaire: A Probabilistic Diagnostic Tool

Stopped early

Conditions studied: Knee Pain

In brief

"Blank" has designed a medical diagnostic system in the form of an unvalidated online questionnaire and drawing tool used to describe and identify the location of knee pain, respectively. A component of the survey includes the patient inputting their diagnosis as the etiology of their knee pain. Dr. Ivo Dinov's team has used the data from 100,000 patient surveys to construct a probabilistic model to diagnose those who fill out the questionnaire and knee pain map but do not have a diagnosis. However, the validity of the online survey and the accuracy of the probabilistic model has not been confirmed in patients with known diagnoses. Therefore, the purpose of this study will be to recruit patients with knee pain at UCLA orthopedic clinics to complete the online survey which will then be applied to the probabilistic model to output possible diagnoses. The results will be compared to the actual diagnosis assigned to that patient in the clinic. If validated, the online survey may serve as a tool for diagnostic and research purposes.

Key facts

Study ID

NCT01492244

Run by

Brock Foster

People needed

1000

Starts

2011-12-01

Last updated by the study team

2012-03-27

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• patients with knee pain and a known diagnosis for their pain
• patients older than 18 years old

You may not qualify if…

• patients that are unable or unwilling to complete the online survey.
• patients who do not have a diagnosis for their knee pain

Where it is running

• UCLA — Los Angeles, California, United States

Full record on ClinicalTrials.gov

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