Pain Survey With Pain Diagrams - Full Text View

Sponsors and Collaborators:	Taylor MicroTechnology University of California, Los Angeles
Information provided by:	Taylor MicroTechnology
ClinicalTrials.gov Identifier:	NCT00915395

Purpose

In earlier work, the Sponsor developed a computer image processing system for analysis of pain diagrams from patients with chronic pain. This system was then tested in a study in over 500 chronic pain patients seen by both primary care practitioners and pain specialists. The hypothesis was that pain location would correlate with the pain type and the underlying cause of the pain. In the study, the computer analysis demonstrated clear correlations between pain diagram data and diagnosis/pain type. The present study extends these observations in a web-based setting, with a focus on the value of computer analysis of pain diagrams as diagnostic predictors.

Condition
Pain Chronic Disease

Study Type:	Observational
Study Design:	Case-Only, Cross-Sectional
Official Title:	Internet-Based Study of 10,000 Subjects With Chronic Pain, Including Subject-Drawn Pain Diagrams, and Computer-Generated Composite Images of Pain Patterns.

Resource links provided by NLM:

MedlinePlus related topics: Coping with Chronic Illness

U.S. FDA Resources

Further study details as provided by Taylor MicroTechnology:

Biospecimen Retention: None Retained

Biospecimen Description:

Estimated Enrollment:	10000
Study Start Date:	June 2004
Estimated Study Completion Date:	June 2011
Estimated Primary Completion Date:	June 2011 (Final data collection date for primary outcome measure)

Detailed Description:

Earlier work performed by the Sponsor (TMT) included development of a MatLab/ImageJ computer image processing system for generation of composite images from pain diagrams drawn by patients with pain, and for calculation of related quantitative variables. The system was tested in a pharmaceutical company-sponsored US study in over 500 chronic pain patients seen by primary care practitioners, and then seen by pain specialists. The hypothesis was that pain location would correlate with the pain type and the underlying cause of the pain. TMT's analysis established correlations between the pain diagram information and the underlying diagnosis and pain type (e.g., nociceptive or neuropathic) reported by the pain specialists. The present study extends these observations in a web-based setting, with particular emphasis on automated computer-generated visual pain patterns as diagnostic predictors.

Eligibility

Ages Eligible for Study:	18 Years and older
Genders Eligible for Study:	Both
Accepts Healthy Volunteers:	No
Sampling Method:	Non-Probability Sample

Study Population

Self-Selected Internet Subjects with Chronic Pain

Criteria

Inclusion Criteria:

Male and female subjects at least 18 years of age and of legal age of consent for the state in which they live.
Able to respond to a questionnaire written in English.
Report chronic pain (constant or recurring pain lasting more than 30 days and causing significant discomfort or limitation of activity).
Provide informed consent to participate in the study.

Exclusion Criteria:

Currently participating in another clinical trial.
Institutionalized person such as a prisoner or nursing home resident.
Questionnaire response suggests a medical or psychological condition that, in the opinion of the investigator, would compromise participation in the study, or suggests any other condition which, in the investigator's judgment, might increase the risk to the subject or decrease the chance of obtaining valid data.
Pain has resulted in a workman's compensation case.
Pain has resulted in litigation.

Contacts and Locations

Please refer to this study by its ClinicalTrials.gov identifier: NCT00915395

Contacts

Contact: Colin R Taylor, MD

212-734-3449

crtaylor@masterdocs.com

Locations

United States, New York
Taylor MicroTechnology, Inc.	Recruiting
New York, New York, United States, 10021
Contact: Colin R Taylor, MD 212-734-3449 crtaylor@masterdocs.com
Principal Investigator: Colin R Taylor, MD

Sponsors and Collaborators

Taylor MicroTechnology

University of California, Los Angeles

Investigators

Principal Investigator:

Colin R Taylor, MD

Taylor MicroTechnology, Inc.

More Information

Additional Information:

Home Page for TMT This link exits the ClinicalTrials.gov site

Background information on study This link exits the ClinicalTrials.gov site

Informed Consent Form required before subject enters study This link exits the ClinicalTrials.gov site

No publications provided

Responsible Party:	Taylor MicroTechnology, Inc. ( Colin R Taylor )
Study ID Numbers:	1-Taylor, 04076-01
Study First Received:	June 4, 2009
Last Updated:	June 5, 2009
ClinicalTrials.gov Identifier:	NCT00915395 History of Changes
Health Authority:	United States: Institutional Review Board

Keywords provided by Taylor MicroTechnology:

Chronic Pain
Pain
Computer Analysis
Pain Diagrams

Study placed in the following topic categories:

Chronic Disease
Pain

Additional relevant MeSH terms:

Disease Attributes
Pathologic Processes
Chronic Disease

ClinicalTrials.gov processed this record on September 03, 2009