Please assess the completion status of the following clinical trial:

Trial Title: Effect of Vitamin D Treatment on Fatigue

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: TREATMENT
- Time Perspective: None
- Masking: QUADRUPLE
- Phase: PHASE3
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion Criteria:~* BMI 18-25 kg/m2~* Serum 25-Hydroxy-Vitamin D level \< 20 mkg/l~* Adequate contraception during the study period~* Informed consent~Exclusion Criteria:~* Anemia with Hb level \< 120 g/l~* Known hypersensitivity to vitamin D~* Intake of vitamin D preparations (including) during the last 8 weeks before the start of the trial protocol~* Pregnancy or lactation or intention to become pregnant during the course of the study~* Any cardiovascular, pulmonary, renal or hepatic disease~* Presence of muscle disease, CK\>167 U/L~* Presence of known bone disease, alkaline phosphatase \> 104 U/l~* Severe infection/inflammation or malignancy~* Known mental disorders (e.g. depression), sleep disorders~* Chronic intake of concurrent medication, except oral contraceptives. Sporadic intake of NSAID or paracetamol, e.g. in the case of a common cold or sporadic headaches is allowed.~* CRP \> 10 mg/l~* TSH out of normal range~* Ferritin \<15 µg/L~* Any concurrent medical condition(s) that, in the view of the investigator, would prevent compliance or participation or jeopardize the health of the participants.~* Participation in any other therapeutic trial within the previous month~* Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia etc.~* Enrollment of the investigator, his/her family members, employees and other dependent persons

- Gender: ALL
- Minimum Age: 20 Years
- Maximum Age: 50 Years
- Healthy Volunteers: t

Study Arms:
- Cholecalciferol (Type: ACTIVE_COMPARATOR): 100 000 units vitamin D3 single dose
- Placebo (Type: PLACEBO_COMPARATOR): similar appearance

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