Improvement of Motor and Life Functions after Nusinersen Treatment in an Adult Patient with Spinal Muscular Atrophy Type II
Bibliographic record
Abstract
Spinal muscular atrophy is a neuromuscular disease characterized by muscle atrophy and progressive muscle weakness due to the degeneration of motor neurons in the anterior horn of the spinal cord. We report a case of an adult patient with spinal muscular atrophy type II and difficulty holding a sitting position. The patient was evaluated before and after Nusinersen treatment and thereafter periodically for up to 3 months for motor and daily living functions. At 3 months post-treatment, the Expanded version of the Hammersmith Functional Motor Scale and the Revised Upper Limb Module, which are motor function assessment tools for evaluating spinal muscular atrophy, showed an increase of 2 points. Evaluation of daily functioning using the Canadian occupational performance measure demonstrated improvements in eating and computer finger manipulation, and these improvements were considered important in daily lives by the patient. This report shows that the Nusinersen treatment improved motor and daily life functions in a patient with spinal muscular atrophy and low motor function. The report also concludes that rehabilitation evaluation for spinal muscular atrophy should include a disease-specific assessment of motor function, combined with an assessment focusing on physical symptoms and daily life functions to capture clinical changes that are responsive to individual patients with spinal muscular atrophy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".