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Record W4413640943 · doi:10.2196/78091

Effects of Technology-Assisted Rehabilitation After Spinal Cord Injury: Pilot Randomized Controlled Crossover Trial

2025· article· en· W4413640943 on OpenAlexvenueno aff
Mia Kilkki, Joonas Poutanen, Kari Kauranen, Jari Arokoski, Sinikka Hiekkala

Bibliographic record

VenueJMIR Rehabilitation and Assistive Technologies · 2025
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsnot available
FundersHelsingin Yliopisto
KeywordsPreprintSpinal cord injuryCrossover studyRehabilitationMedicineRandomized controlled trialCrossoverPhysical therapyPhysical medicine and rehabilitationSpinal cordSurgeryComputer scienceAlternative medicinePlaceboWorld Wide Web

Abstract

fetched live from OpenAlex

Background: Technology-assisted and robotic rehabilitation methods are increasingly used in neurorehabilitation. Still, scarce evidence exists on their effects on upper extremity functioning after spinal cord injury, especially at the chronic stage. Objective: The present study aims to evaluate the effects of a 6-week intervention focusing on technology-assisted upper extremity rehabilitation in adults 1-8 years after incomplete cervical spinal cord injury. Methods: In this pilot randomized controlled crossover trial, 20 participants (10 men, 34-73 y of age) were recruited by mail and randomized into 2 sequences (AB: n=10 and BA: n=10). All participants received a 6-week rehabilitation intervention in Period 1 or Period 2, with a 4-week washout period in between. The intervention was delivered 3 times a week for 6 weeks (18 sessions) by occupational therapists specialized in spinal cord injuries. Each 1-hour therapy session included a minimum of 30 minutes of technology-assisted upper extremity rehabilitation using interactive and task-specific AMADEO, DIEGO, or PABLO devices. Other occupational therapy activities were allowed to complete the 1-hour therapy session. The effects of the 6-week rehabilitation intervention were compared with 6 weeks of no intervention, and the analyses were based on paired data. Each participant served as their own control. Hand and arm function were evaluated using the Action Research Arm Test, the American Spinal Injury Association-Upper Extremity Motor Score (ASIA-UEMS), grip strength, pinch strength, and the Spinal Cord Independence Measure-Self Report. Rehabilitation goal attainment was evaluated by the Goal Attainment Scale. Face-to-face assessments were conducted at baseline, after Period 1, after Period 2, and at 6 months, except for the Goal Attainment Scale, which was used at the beginning and immediately after the rehabilitation intervention. Results: The effects of the rehabilitation intervention compared to no intervention were statistically insignificant, except for the ASIA-UEMS (median change 1, IQR 0-2 point versus 0, IQR -2 to 0 point) in participants in sequence BA (n=7) who received the rehabilitation intervention during Period 2 (P=.04). The rehabilitation intervention showed good feasibility and tolerability in adults with incomplete cervical spinal cord injury. Of 20 participants (median age 62, IQR 58-66 y), 19 enrolled in the study, and 17 completed at least 80% of the rehabilitation sessions. Fourteen out of 16 participants included in the final analysis attained their rehabilitation goals. The goals were mainly focusing on "fine hand use" and "hand and arm use" related to self-care and domestic life. Conclusions: Results of this pilot study suggest that technology-assisted upper extremity rehabilitation provided by occupational therapists is safe and has potential for broader clinical use in adults with incomplete cervical spinal cord injury. The rehabilitation intervention showed good feasibility and positive outcomes in rehabilitation goal attainment. This study was left unpowered, and the results need to be confirmed in a larger randomized controlled trial.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.376
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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