A PROSPECTIVE, RANDOMISED TRIAL OF IMMEDIATE PHYSIOTHERAPY FOLLOWING LUMBAR MICRO-DISCECTOMY
Bibliographic record
Abstract
Study Design. Randomized, single blind, Quasi-experimental trial. Objective. To investigate whether immediate physiotherapy post lumbar micro-discectomy enables patients to become independently mobile more rapidly with no increase in risk of complications Summary of Background Data. Although studies have demonstrated the efficacy of rehabilitation post lumbar discectomy, none have looked at physiotherapy commencing immediately post operatively. Methods. A total of thirty patients were randomized to an immediate group commencing physiotherapy within two hours post-operatively or a control group receiving physiotherapy first day post-operatively. Outcome measures included the time taken for the patient to become independently mobile post-surgery, Oswestry Disability Index and pain scores (VAS and short form McGill) collected pre-operatively, post-operatively at four weeks, and three months. Results. The results indicated significantly reduced time to independent mobility (p=0.009) and return to work (p=0.002) in the immediate group. There was no significant difference in disability and pain scores at four weeks and three months between the groups. Early mobilisation did not result in increased complications. Conclusions. Immediate physiotherapy following first time single level lumbar micro-discectomy enables patients to become independently mobile more rapidly and return to work sooner. Immediate physiotherapy may enable patients to experience earlier discharge with associated cost benefits to healthcare.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".