Pregabalin vs Placebo in Treatment of Neuropathic Pain Associated With Diabetic Peripheral Neuropathy

NCT ID: NCT00143156

Last Updated: 2021-01-22

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

COMPLETED

Clinical Phase

PHASE3

Total Enrollment

450 participants

Study Classification

INTERVENTIONAL

Study Start Date

2005-03-31

Study Completion Date

2007-05-31

Brief Summary

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To evaluate the efficacy and safety of pregabalin administered twice a day compared to placebo in reducing pain in subjects with painful diabetic peripheral neuropathy.

Detailed Description

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Conditions

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Diabetic Neuropathies

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Interventions

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pregabalin

Intervention Type DRUG

Eligibility Criteria

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Inclusion Criteria

* Males or females at least 18 years of age, of any ethnic origin
* Type 1 or 2 diabetes mellitus
* Pain score greater than or equal to 4 on the 11-point numeric pain rating scale

Exclusion Criteria

* Neurologic disorders unrelated to diabetic neuropathy that may confuse or confound the assessment of neuropathic pain.
* Presence of severe pain associated with conditions other than diabetic peripheral neuropathy, that could confound the assessment or self-evaluation of pain due to DPN.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Pfizer's Upjohn has merged with Mylan to form Viatris Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Pfizer CT.gov Call Center

Role: STUDY_DIRECTOR

Pfizer

Locations

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Pfizer Investigational Site

Tuscaloosa, Alabama, United States

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Phoenix, Arizona, United States

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Little Rock, Arkansas, United States

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La Mesa, California, United States

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Los Gatos, California, United States

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Northridge, California, United States

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Tustin, California, United States

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Walnut Creek, California, United States

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Boulder, Colorado, United States

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Wheat Ridge, Colorado, United States

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New Haven, Connecticut, United States

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Clearwater, Florida, United States

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Hollywood, Florida, United States

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Ocala, Florida, United States

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Tampa, Florida, United States

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West Palm Beach, Florida, United States

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Atlanta, Georgia, United States

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Atlanta, Georgia, United States

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Atlanta, Georgia, United States

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Decatur, Georgia, United States

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Chicago, Illinois, United States

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Chicago, Illinois, United States

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Peoria, Illinois, United States

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Springfield, Illinois, United States

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Indianapolis, Indiana, United States

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Lexington, Kentucky, United States

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Baltimore, Maryland, United States

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Boston, Massachusetts, United States

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Boston, Massachusetts, United States

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Springfield, Massachusetts, United States

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Jackson, Mississippi, United States

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Tupelo, Mississippi, United States

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Jefferson City, Missouri, United States

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St Louis, Missouri, United States

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Omaha, Nebraska, United States

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Englewood, New Jersey, United States

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Shrewsbury, New Jersey, United States

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New Hyde Park, New York, United States

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New York, New York, United States

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New York, New York, United States

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Kettering, Ohio, United States

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Toledo, Ohio, United States

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Tulsa, Oklahoma, United States

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Warwick, Rhode Island, United States

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Memphis, Tennessee, United States

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Dallas, Texas, United States

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Frisco, Texas, United States

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Houston, Texas, United States

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San Antonio, Texas, United States

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San Antonio, Texas, United States

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Salt Lake City, Utah, United States

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Burlington, Vermont, United States

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Charlottesville, Virginia, United States

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Ponce, , Puerto Rico

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Countries

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United States Puerto Rico

References

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Alexander J Jr, Edwards RA, Manca L, Grugni R, Bonfanti G, Emir B, Whalen E, Watt S, Brodsky M, Parsons B. Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy. Pragmat Obs Res. 2019 Oct 31;10:67-76. doi: 10.2147/POR.S214412. eCollection 2019.

Reference Type DERIVED
PMID: 31802967 (View on PubMed)

Alexander J Jr, Edwards RA, Brodsky M, Manca L, Grugni R, Savoldelli A, Bonfanti G, Emir B, Whalen E, Watt S, Parsons B. Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy. PLoS One. 2018 Dec 6;13(12):e0207120. doi: 10.1371/journal.pone.0207120. eCollection 2018.

Reference Type DERIVED
PMID: 30521533 (View on PubMed)

Edwards RA, Bonfanti G, Grugni R, Manca L, Parsons B, Alexander J. Predicting Responses to Pregabalin for Painful Diabetic Peripheral Neuropathy Based on Trajectory-Focused Patient Profiles Derived from the First 4 Weeks of Treatment. Adv Ther. 2018 Oct;35(10):1585-1597. doi: 10.1007/s12325-018-0780-3. Epub 2018 Sep 11.

Reference Type DERIVED
PMID: 30206821 (View on PubMed)

Parsons B, Li C, Emir B, Vinik AI. The efficacy of pregabalin for treating pain associated with diabetic peripheral neuropathy in subjects with type 1 or type 2 diabetes mellitus. Curr Med Res Opin. 2018 Nov;34(11):2015-2022. doi: 10.1080/03007995.2018.1509304. Epub 2018 Sep 20.

Reference Type DERIVED
PMID: 30084288 (View on PubMed)

Markman JD, Jensen TS, Semel D, Li C, Parsons B, Behar R, Sadosky AB. Effects of Pregabalin in Patients with Neuropathic Pain Previously Treated with Gabapentin: A Pooled Analysis of Parallel-Group, Randomized, Placebo-controlled Clinical Trials. Pain Pract. 2017 Jul;17(6):718-728. doi: 10.1111/papr.12516. Epub 2016 Dec 1.

Reference Type DERIVED
PMID: 27611736 (View on PubMed)

Related Links

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Other Identifiers

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A0081071

Identifier Type: -

Identifier Source: org_study_id

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