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Data Collection for Prediction of Postoperative Chronic Pain for Establishing a Software by Using Data Mining Technology
Postoperative Persistent Pain (PPP) is reported with a high incidence in adults 11.5-47%. This high incidence effects quality of life of patients causes social-economical problems and arises medico-legal issues. This study will be undertaken for producing a database by the evaluation of surgeries in 4 hospitals located in Istanbul. This database will be used in establishing a software by using data mining technology in the prediction of PPP
All cases operated in 4 different hospitals in one month period will be included Exclusion criteria: cases who could not be followed up to 2 months postoperatively by telephone call. A questionnaire will be filled preoperatively for each case after obtaining informed case . All cases will be anesthetized and pain therapy will be applied according to anesthesiologist's own practice and pain relief will be evaluated and noted. All patients will be telephoned postoperatively for the pain level at 15,30,45 and 60th day. All the information will be uploaded to computer and a software will be prepared for prediction of postoperative chronic pain.
Age
All ages
Sex
ALL
Healthy Volunteers
No
Istanbul University Cerrahpasa Medical Faculty
Istanbul, Turkey (Türkiye)
Bezm-i Alem University
Istanbul, Turkey (Türkiye)
Istanbul Research and Training Hospital
Istanbul, Turkey (Türkiye)
Istanbul University Cardiology Institute
Istanbul, Turkey (Türkiye)
Istanbul University Informatics Department
Istanbul, Turkey (Türkiye)
Tepecik Research and Training Hospital
Izmir, Turkey (Türkiye)
Start Date
October 1, 2014
Primary Completion Date
April 1, 2018
Completion Date
April 30, 2018
Last Updated
January 27, 2020
733
ACTUAL participants
Lead Sponsor
Istanbul University
Collaborators
NCT05920967
NCT06638437
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT04670042