| Unique ID issued by UMIN | UMIN000061704 |
|---|---|
| Receipt number | R000070354 |
| Scientific Title | External Validation of Existing Clinical Prediction Models for Gait Prognosis in Individuals with Spinal Cord Injury and Development of a New Prediction Model |
| Date of disclosure of the study information | 2026/06/30 |
| Last modified on | 2026/06/22 17:16:30 |
External Validation of Existing Clinical Prediction Models for Gait Prognosis in Individuals with Spinal Cord Injury and Development of a New Prediction Model
External Validation of Existing Clinical Prediction Models for Gait Prognosis in Individuals with Spinal Cord Injury and Development of a New Prediction Model
External Validation of Existing Clinical Prediction Models for Gait Prognosis in Individuals with Spinal Cord Injury and Development of a New Prediction Model
External Validation of Existing Clinical Prediction Models for Gait Prognosis in Individuals with Spinal Cord Injury and Development of a New Prediction Model
| Japan |
Spinal Cord Injury
| Rehabilitation medicine |
Others
NO
To externally validate existing clinical prediction models (CPM) for predicting gait prognosis in individuals with subacute spinal cord injury and to evaluate their predictive performance and clinical utility.
Others
To develop a novel CPM for walking independence in individuals with spinal cord injury during the recovery phase.
The Spinal Cord Independence Measure III
International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), 10-Meter Walk Test (10MWT), 6-Minute Walk Test (6MWT), Timed Up and Go Test (TUG), Functional Ambulation Categories (FAC), Walking Index for Spinal Cord Injury II (WISCI-II), Spinal Cord Injury Functional Ambulation Inventory (SCI-FAI), Functional Independence Measure (FIM), Basic mobility tasks (rolling, supine-to-sit movement, sitting, sit-to-stand movement, and standing)
Observational
| 20 | years-old | <= |
| 100 | years-old | >= |
Male and Female
Individuals with spinal cord injury (including traumatic and non-traumatic spinal cord injury) within 1-3 months after injury
Individuals who indicated their refusal to participate in this study through the opt-out process.
100
| 1st name | Shinogu |
| Middle name | |
| Last name | Kusano |
Ibaraki Prefectural University of Health Sciences Hospital
Rehabilitation Department
3000331
4733 Ami, Ami Town, Inashiki District, Ibaraki Prefecture
0298889200
kusanos@ami.ipu.ac.jp
| 1st name | Shinogu |
| Middle name | |
| Last name | Kusano |
Ibaraki Prefectural University of Health Sciences Hospital
Rehabilitation Department
3000331
4733 Ami, Ami Town, Inashiki District, Ibaraki Prefecture
0298889200
kusanos@ami.ipu.ac.jp
Other
None
Self funding
Ibaraki Prefectural University of Health Sciences
4669-2 Ami, Ami Town, Inashiki District, Ibaraki Prefecture
0298884000
iizima@ipu.ac.jp
NO
| 2026 | Year | 06 | Month | 30 | Day |
Unpublished
Preinitiation
| 2026 | Year | 06 | Month | 01 | Day |
| 2026 | Year | 06 | Month | 01 | Day |
| 2031 | Year | 03 | Month | 31 | Day |
(Inclusion criteria)
Individuals with spinal cord injury (traumatic or non-traumatic) who were admitted to the disability ward or convalescent rehabilitation ward of Ibaraki Prefectural University of Health Sciences Hospital and received rehabilitation between April 1, 2017 and April 30, 2026 will be included.
Participants admitted to our hospital within 1-3 months after the onset of spinal cord injury will be included.
(Exclusion criteria)
Individuals who opted out and expressed unwillingness to participate in this study will be excluded.
(Statistical analysis)
External validation of existing clinical prediction models (CPMs) for walking independence in individuals with spinal cord injury
The discrimination performance of existing CPMs will be evaluated using the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC). Model calibration will be assessed using calibration plots. In addition, sensitivity, specificity, positive predictive value, and negative predictive value will be calculated.
Development of a novel clinical prediction model for walking independence in individuals with spinal cord injury
Logistic regression analysis will be performed with walking independence/dependence as the dependent variable. In addition, decision tree analysis will be conducted to explore the hierarchical structure of factors associated with walking prognosis. Model performance will be evaluated using the ROC curve and AUC.
| 2026 | Year | 05 | Month | 27 | Day |
| 2026 | Year | 06 | Month | 22 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070354