Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
150 participants
OBSERVATIONAL
2023-04-30
2023-04-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The investigators aimed to share our anesthesia management experience as well as compare robotic unilateral total knee arthroplasty with conventional surgical technique in this retrospective study.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Robotic Total Hip Arthroplasty Anesthesia Management
NCT05794282
Postoperative Complications Following Total Knee Arthroplasty
NCT03746444
Total Knee Replacement Under Spinal Anesthesia, Comparison of Postoperative Recovery Versus General Anesthesia
NCT07275983
Comparison of Proprioception for HTO (High Tibial Osteotomy) and UKA (Unicompartmantal Knee Arthroplasty)
NCT05993637
Mobile Application Based Care for Total Knee Prosthesis Patients
NCT06346717
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The following criteria were used to assess inclusion: ASA physical status I-III patients aged 40-85 years, elective unilateral total knee arthroplasty (TKAs) performed by a single senior orthopedic surgeon and orthopedic team under combined spinal epidural anesthesia (CSEA) between January 2021 and January 2023. Exclusion criteria included urgent surgery, bilateral surgery, previous surgery, missing data, and being lost to follow-up during the perioperative period. Data was collected from the hospital's electronic database records, patient files, and anesthesia charts.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
RETROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Group rTKA (robotic total knee arthroplasty)
the robot assisted total knee arthroplasty
the robot assisted total knee arthroplasty
the robot assisted total knee arthroplasty
Group cTKA (conventional total knee arthroplasty)
the conventional jig-based total knee arthroplasty
the conventional jig-based total knee arthroplasty
the conventional jig-based total knee arthroplasty
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
the robot assisted total knee arthroplasty
the robot assisted total knee arthroplasty
the conventional jig-based total knee arthroplasty
the conventional jig-based total knee arthroplasty
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Between 40-85 years
* Elective unilateral TKAs which were performed by a single senior orthopedic surgeon
* Between January 2021 and January 2023 under CSEA.
Exclusion Criteria
* Bilateral surgery
* Previous surgery
* Missing data and lost to follow-up in the perioperative period
40 Years
85 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Saglik Bilimleri Universitesi Gulhane Tip Fakultesi
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Umut Kara
Associate Professor
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2022-98
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.