Please assess the completion status of the following clinical trial:

Trial Title: Whole-body Vibration Physiotherapy in Kidney Transplantation

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: PREVENTION
- Time Perspective: None
- Masking: TRIPLE
- Phase: None
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion Criteria:~* Age \> 18 years old~* Kidney transplantation in the last 12 months~* Stable kidney function (eGFR\>20 ml/min)~* No episode of acute rejection during the last 2 months~* Written informed consent~Exclusion Criteria~* Inability to posture or to perform whole-body vibration therapy or MRS after transplantation~* Treatment with anabolic medication, fluorine, bisphosphonates, or hormone replacement therapy (estrogens, selective modulators of the estrogenic receptors) within the previous 3 months~* Treatment with high-dose steroid therapy due to acute rejection episode during the last 2 months before study inclusion~* Implanted devices (pacemakers, defibrillators, stents, etc.)~* Pregnancy~* Previous ophthalmic cataract surgery~* Previous history of epilepsy~* Previous recent spine of leg fracture (last 3 months)~* Other individuals especially in need of protection (according to the Swiss Academy of Medical Sciences)

- Gender: ALL
- Minimum Age: 18 Years
- Maximum Age: 80 Years
- Healthy Volunteers: f

Study Arms:
- Physiotherapeutical intervention (Type: ACTIVE_COMPARATOR): 3 WBV-sessions per week for 3 consecutive months. Each session consists of 5 series with a duration of 60 sec with 60 sec rest-time with vibration of increasing frequency starting at 1Hz / Noise 4 going up to 6Hz / Noise 5 depending on patients' tolerability and with a fixed 3mm amplitude.
- Sham physiotherapeutical intervention (Type: SHAM_COMPARATOR): 3 WBV-sessions per week for 3 consecutive months. Each session consists of 5 series with a duration of 60 sec with 60 sec rest-time at 1 Hz / Noise 1 and 3mm amplitude.

Based on this trial design, predict the completion outcome and termination type (if applicable).