Exercise Therapy for Treatment of Acute Non-specific Low Back Pain: A Cochrane Systematic Review and Meta-analysis of Randomized Controlled Trials
Bibliographic record
Abstract
OBJECTIVE: To assess the effectiveness of exercise for acute non-specific low back pain (LBP) vs our main comparisons: (1) sham treatment and (2) no treatment at short term (main follow-up time). DATA SOURCES AND STUDY SELECTION: A comprehensive search up till November 2021 was conducted in numerous databases for randomized controlled trials on the effectiveness of exercise in adults with acute LBP (<6 weeks). Studies examining LBP with a specific etiology were excluded. The primary outcomes were back pain, back-specific functional status, and recovery. DATA EXTRACTION: Two review authors independently conducted the study selection, risk of bias assessment, and data extraction. GRADE was used to assess the certainty of the evidence. DATA SYNTHESIS: We identified 23 randomized controlled trials (2674 participants). There is very low-certainty evidence that exercise therapy compared with sham/placebo treatment has no clinically relevant effect on pain (mean difference [MD] -0.80, 95% confidence interval [CI] -5.79 to 4.19; 1 study, 299 participants) and on functional status (MD 2.00, 95% CI -2.20 to 6.20; 1 study, 299 participants) in the short term. There is very low-quality evidence which suggests no difference in effect on pain and functional status for exercise vs no treatment (2 studies; n=157, not pooled due to heterogeneity) at short-term follow-up. Similar results were found for the other follow-up moments. The certainty of the evidence was downgraded because many randomized controlled trials had a high risk of bias, were small in size, and/or there was substantial heterogeneity. CONCLUSION: Exercise therapy compared with sham/placebo and no treatment may have no clinically relevant effect on pain or functional status in the short term in people with acute non-specific LBP, but the evidence is very uncertain. Owing to insufficient reporting of adverse events, we were unable to reach any conclusions on the safety or harms related to exercise therapy.
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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 | 0.030 | 0.082 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.033 | 0.034 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".