Evaluation of Pain Location, Pain Quality and Pain Patterns in Subjects With Chronic Pain

Internet-based Study of 10,000 Subjects With Chronic Pain, Including Subject-drawn Pain Diagrams, and Computer-generated Composite Images of Pain Patterns

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT00284245

Enrollment

1000

Registered

2006-01-31

Start date

2004-06-30

Completion date

Unknown

Last updated

2011-06-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

CHRONIC DISEASE, PAIN

Keywords

Chronic Pain, Pain, Computer Analysis, Pain Diagrams

Brief summary

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.

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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.

Countries

United States

Contacts

Primary ContactColin R Taylor, MD

crtaylor@masterdocs.com212-734-3449

Outcome results