Admission and Acute Complication Rate for Outpatient Lumbar Microdiscectomy
Bibliographic record
Abstract
OBJECTIVE: Specialization is generally independently associated with improved outcomes for most types of surgery. This is the first study comparing the immediate success of outpatient lumbar microdiscectomy with respect to acute complication and conversion to inpatient rate. Long-term pain relief is not examined in this study. METHODS: Two separate prospective databases (one belonging to a neurosurgeon and brain tumor specialist, not specializing in spine (NS) and one belonging to four spine surgeons (SS)) were retrospectively reviewed. All acute complications as well as admission data of patients scheduled for outpatient lumbar microdiscectomy were extracted. RESULTS: In total, 269 patients were in the NS group and 137 patients were in the SS group. The NS group averaged 24 cases per year while the SS group averaged 50 cases per year. Chi-square tests revealed no difference in acute complication rate [NS (6.7%), SS (7.3%)] (p > 0.5) and admission rate [NS (4.1%), SS (5.8%)] (p = 0.4) while the SS group had a significantly higher proportion of patients undergoing repeat microdiscectomy [NS (4.1%), SS (37.2%)] (p < 0.0001). Excluding revision operations, there was no statistically significant difference in acute complication [NS (5.4%), SS (1.2%)] (p = 0.09) and conversion to inpatient [NS (4.3%), SS (4.6%)] (p > 0.5) rate. The combined acute complication and conversion to inpatient rate was 6.9% and 4.7% respectively. CONCLUSION: Based on this limited study, outpatient lumbar microdiscectomy can be apparently performed safely with similar immediate complication rates by both non-spine specialized neurosurgeons and spine surgeons, even though the trend favored the latter group for both outcome measures.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".