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

NCT ID: NCT00284245

Last Updated: 2011-06-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2004-06-30

Brief Summary

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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

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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.

Conditions

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PAIN CHRONIC DISEASE

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Taylor MicroTechnology

INDUSTRY

Sponsor Role lead

Responsible Party

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Taylor MicroTechnology, Inc.

Principal Investigators

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Colin R Taylor, MD

Role: PRINCIPAL_INVESTIGATOR

Taylor MicroTechnology, Inc.

Locations

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Taylor MicroTechnology, Inc.

New York, New York, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Colin R Taylor, MD

Role: CONTACT

212-734-3449

Facility Contacts

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Colin R Taylor, MD

Role: primary

212-734-3449

Related Links

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http://masterdocs.com

Home Page for TMT

https://www.masterdocs.com/informed_consent_form.htm

Informed Consent Form required before subject enters study

Other Identifiers

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04076-01

Identifier Type: -

Identifier Source: secondary_id

TMT-B-011

Identifier Type: -

Identifier Source: org_study_id

NCT00915395

Identifier Type: -

Identifier Source: nct_alias

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