Early Impact of Postoperative Bracing on Pain and Quality of Life After Posterior Instrumented Fusion for Lumbar Degenerative Conditions
Bibliographic record
Abstract
STUDY DESIGN: A randomized controlled trial. OBJECTIVE: To investigate whether bracing after posterior spinal instrumented fusion (PSIF) can improve pain relief and quality of life (QoL) 6 weeks and 3 months postoperatively. SUMMARY OF BACKGROUND DATA: Braces are commonly prescribed after PSIF in patients with lumbar degenerative conditions with the aim of improving pain relief and QoL. However, there is a lack of evidence on the indication for postoperative bracing, as surgeons use braces mainly based on their experience and training. METHODS: A randomized blinded and controlled trial of 43 patients with PSIF for lumbar degenerative conditions were recruited. The caregivers were blinded but not the orthotist in the present study. There were 25 patients in the brace group and 18 patients in the control group with similar baseline characteristics. All patients completed the Oswestry Disability Index (ODI), the short form (SF)-12v2 General Health Survey and Visual Analog Scale (VAS) for back pain preoperatively, at 6 weeks and 3 months follow-up. Wilcoxon-Mann-Whitney test and a level of significance of 0.05 were used for statistical analyses. RESULTS: Both groups had comparable demographic characteristics, and preoperative SF-12v2, ODI, and VAS scores. The ODI, SF-12v2, and VAS for back pain were improved in comparison to preoperative scores. The improvement was significant at 3 months follow-up regarding ODI and VAS for both groups and significant only for the control group regarding SF-12v2 scores. The improvement in ODI, SF-12v2, and VAS was significantly greater for control group at 3 months postoperatively. Moreover, larger proportion of patients in the control group reached minimum clinically important difference as compared to brace group at 6 weeks and 3 months. CONCLUSION: Postoperative bracing did not result in better improvement in QoL or pain relief up to 3 months after PSIF in patients with lumbar degenerative conditions. LEVEL OF EVIDENCE: 1.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".