Lumbar microdiscectomy in pediatric patients: a large single-institution series
Bibliographic record
Abstract
OBJECT: Lumbar disc herniation is a rare but significant cause of pain and disability in the pediatric population. Lumbar microdiscectomy, although routinely performed in adults, has not been described in the pediatric population. The objective of this study was to determine the surgical results of lumbar microdiscectomy in the pediatric population by analyzing the experiences at Children's Hospital Boston over the past decade. METHODS: A series of 87 consecutive cases of lumbar microdiscectomy performed by the senior author (M.R.P.) from 1999 to 2008 were reviewed. Presenting symptoms, physical examination findings, and preoperative MR imaging findings were obtained from medical records. Immediate operative results were assessed including operative duration, blood loss, length of stay, and complications, along with long-term outcome and need for repeat surgery. RESULTS: This series represents the first surgical series of pediatric microdiscectomies. The mean patient age was 16.6 years (range 12-18 years) and 60% were female. The preoperative physical examination results were notable for motor deficits in 26% of patients, sensory changes in 41%, loss of deep tendon reflex in 22%, and a positive straight leg raise in 95%. Conservative management was the first line of treatment in all patients and the mean duration of symptoms until surgical treatment was 12.2 months. The mean operative time was 110 minutes and the mean postoperative length of stay was 1.3 days. Complications were rare: postoperative infection occurred in 1%, postoperative CSF leak in 1%, and new postoperative neurological deficits in 1%. Only 6% of patients needed repeat lumbar surgery and 1 patient ultimately required lumbar fusion. CONCLUSIONS: The treatment of pediatric lumbar disc herniation with microdiscectomy is a safe procedure with low operative complications. Nuances of the presentation, treatment options, and surgery in the pediatric population are discussed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".