Chronic Postoperative Pain Clinical Trial
Official title:
Data Collection for Prediction of Postoperative Chronic Pain for Establishing a Software by Using Data Mining Technology
NCT number | NCT02190682 |
Other study ID # | 2062014 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | October 2014 |
Est. completion date | April 30, 2018 |
Verified date | January 2020 |
Source | Istanbul University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
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
Status | Completed |
Enrollment | 733 |
Est. completion date | April 30, 2018 |
Est. primary completion date | April 2018 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: - all cases operated in one month period Exclusion Criteria: - cases who cannot be followed for 2 months |
Country | Name | City | State |
---|---|---|---|
Turkey | Bezm-i Alem University | Istanbul | |
Turkey | Istanbul Research and Training Hospital | Istanbul | |
Turkey | Istanbul University Cardiology Institute | Istanbul | |
Turkey | Istanbul University Cerrahpasa Medical Faculty | Istanbul | |
Turkey | Istanbul University Informatics Department | Istanbul | |
Turkey | Tepecik Research and Training Hospital | Izmir |
Lead Sponsor | Collaborator |
---|---|
Istanbul University | The Scientific and Technological Research Council of Turkey |
Turkey,
Sutas Bozkurt, A. P., Özen, Z., Kartal, E., Emre, I. E., Selçukcan Erol, Ç., Koçoglu, F. Ö., Güngör, G., Güneyli, H. C., Basaranoglu, G., Ünlüsoy, E. Ö., Ugur, H. Ö., Buluç Bulgen, S., Çolakoglu, N., Sayilgan, C., Pekel, A. F., Pismisoglu, H., Salihoglu, Z., Yüceyar, L., Karaca, S., … Bakan, N. (2018). Analysis of the incidence and predictive factors of chronic postoperative pain in adult population. The Journal of Tepecik Education and Research, 28(2), 89-94. https://doi.org/10.5222/terh.2018.089
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Incidence of postoperative chronic pain | Postoperative chronic pain is pain in the area of surgery lasting at least 2 months postoperatively regardless of infection, recurrence of disease and etc. | postoperative 3 months | |
Secondary | preparation of software for the prediction of postoperative chronic pain | the information from the questioners to the patients will be uploaded to an excel sheet and the IT group will prepare a software by using the data mining technology | 8 months |
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