Study to Test the Value of a Pain Modulation Test in Predicting Persistent Postoperative Pain After Breast Cancer Surgery (PREDO)

July 29, 2016 updated by: Benno Rehberg-Klug, University Hospital, Geneva

Trial of Diagnostic Accuracy for the Prediction of Persistent Postoperative Pain After Breast Cancer Surgery Using a Conditioned Pain Modulation Test

The purpose of this study is to test the hypothesis that a preoperative test of pain modulation predicts persistent pain 4 months after breast cancer surgery. In addition, a risk score for the prediction of persistent pain will be developed from parameters available before surgery.

Study Overview

Study Type

Observational

Enrollment (Actual)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Geneva, Switzerland, 1211
        • Hopitaux Universitaires de Geneve

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

women scheduled for any type of breast cancer surgery in a university hospital breast cancer center

Description

Inclusion Criteria:

  • age >=18 years
  • American Society of Anesthesiology functional status I-III
  • able to read and understand the information sheet and give informed consent

Exclusion Criteria:

none

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
prevalence of pain at the site of surgery
Time Frame: 4 months postop
clinically important pain defined as either necessitating analgesic treatment or having an intensity of more than 3/10 at rest or 5/10 on movement, at 4 months after surgery
4 months postop

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
acute pain
Time Frame: 24h
maximum pain >3/10
24h
subacute pain
Time Frame: 1 week
average pain, maximum pain >2
1 week
prevalence of pain necessitating analgesics at the site of surgery
Time Frame: 4 months
4 months
prevalence of pain at the site of surgery
Time Frame: 8 months
8 months
prevalence of pain at the site of surgery
Time Frame: 12 months
12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Benno Rehberg-Klug, MD, Dept of Anesthesiology, HUG

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

May 1, 2011

Primary Completion (Actual)

April 1, 2015

Study Completion (Actual)

May 1, 2016

Study Registration Dates

First Submitted

January 10, 2013

First Submitted That Met QC Criteria

January 10, 2013

First Posted (Estimate)

January 14, 2013

Study Record Updates

Last Update Posted (Estimate)

August 1, 2016

Last Update Submitted That Met QC Criteria

July 29, 2016

Last Verified

July 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • CER 10-218
  • matped 10-054 (Other Identifier: local ethics committee)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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