Selective Dorsal Root Rhizotomy for Spastic Cerebral Palsy: A Longitudinal Case-Control Analysis of Functional Outcome
Bibliographic record
Abstract
BACKGROUND: The benefit of selective dorsal rhizotomies (SDR) on motor function relative to the cerebral palsy (CP) natural history remains unknown. OBJECTIVE: To determine the functional benefit of SDR over the longitudinal CP natural history. METHODS: Retrospective, single-center, case-control study of patients post-SDR after 1990. Inclusion criteria were the following: diagnosis of spastic CP, at least 1 preoperative and 1 postoperative Gross Motor Function Measure (GMFM-88), at least 1 yr of postoperative follow-up. GMFM-88 assessments were performed at 1, 2, 3, 5, 10, and 15 yr postoperatively and converted to GMFM-66. Cases were stratified by preoperative Gross Motor Function Classification System (GMFCS) and matched against their expected natural history using published reference centiles. After age 12, our cohort and matched controls were also fitted to published nonlinear mixed models of GMFM-66 evolution over time. RESULTS: Analysis included 190 patients. Median follow-up, 5.3 yr (range: 1-16.9), median age at surgery, 4.6 yr, and 81.6% of patients grouped as GMFCS II or III pre-op. SDR patients performed statistically significantly better than their expected natural history (P < .0005). At 21 yr old, a modeled benefit of 8.435 was observed for GMFCS I (P = .0051), 0.05 for GMFCS II (P = .9647), 6.31 for GMFCS III (P < .0001), and 1.191 for GMFCS IV patients (P = .0207). CONCLUSION: These results support the use of SDR in carefully selected spastic CP children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".