Functional performance following selective posterior rhizotomy: long-term results determined using a validated evaluative measure
Bibliographic record
Abstract
OBJECT: Selective posterior rhizotomy (SPR) may result in considerable benefit for children with spastic cerebral palsy. To date, however, there have been few studies in which validated functional outcome measures have been used to report surgical results beyond 3 years. The authors analyzed data obtained from the McGill Rhizotomy Database to determine long-term functional performance outcomes in patients who underwent lumbosacral dorsal rhizotomy performed using intraoperative electrophysiological monitoring. METHODS: The study population was composed of children with debilitating spasticity who underwent SPR and were evaluated by a multidisciplinary team preoperatively and at 6 months and 1 year postoperatively. Quantitative standardized assessments of activities of daily living (ADL) were obtained using the Pediatric Evaluation of Disability Inventory (PEDI). Of 57 patients who met the entry criteria for the study, 41 completed the 3-year assessments and 30 completed the 5-year assessments. Statistical analysis demonstrated significant improvement in the mobility and self-care domains of the functional skills dimension at 1 year after SPR. The preoperative and 1-, 3-, and 5-year postoperative scaled scores for the mobility domain were 56, 64, 77.2, and 77.8, respectively. The scaled score for the self-care domain increased from 59 presurgery to 67.9, 81.6, and 82.4 at the 1-, 3-, and 5-year postoperative assessments, respectively. CONCLUSIONS: The results of this study support the presence of significant improvements in functional performance, based on PEDI scores obtained 1 year after SPR. The improvements persisted at the 3- and 5-year follow-up examinations. The authors conclude that SPR performed using intraoperative stimulation is valuable in the augmentation of motor function and self-care skills essential to the performance of ADL.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".