Postsurgical rehabilitation for adults with low back pain with or without radiculopathy who were treated surgically: protocol for a mixed studies systematic review
Bibliographic record
Abstract
INTRODUCTION: Surgical rates for low back pain (LBP) have been increasing in Europe, North America and Asia. Many patients treated surgically will require postsurgical rehabilitation. Little is known about the effectiveness of postsurgical rehabilitation interventions on health outcomes or about patients' experiences with these interventions. OBJECTIVES: To conduct a mixed studies systematic review of quantitative and qualitative studies regarding: (1) the effectiveness and safety of postsurgical rehabilitation interventions for adults with LBP treated surgically and (2) the experiences of patients, healthcare providers, caregivers or others involved with the rehabilitation. METHODS AND ANALYSIS: We will search MEDLINE, Embase, PsycINFO, CINAHL, the Index to Chiropractic Literature, the Cochrane Controlled Register of Trials and the Rehabilitation & Sports Medicine Source for peer-reviewed empirical studies published from inception in any language. Studies using quantitative, qualitative and mixed methodologies will be included. We will also search reference lists of all eligible articles. Data extraction will include type of presurgical pathology, indication for surgery, surgical procedure, how the intervention was delivered and by whom, context and setting. We will conduct a quality assessment of each study and consider study quality in our evidence synthesis. We will use a sequential approach at the review level to synthesise and integrate data. First, we will synthesise the quantitative and qualitative studies independently, conducting a meta-analysis of the quantitative studies if appropriate and thematic synthesis of the qualitative studies. Then, we will integrate the quantitative and qualitative evidence by juxtaposing the findings in a matrix. ETHICS AND DISSEMINATION: Ethical approval is not required for this knowledge synthesis. Findings will be disseminated through knowledge translation activities including: (1) presentations at national and international conferences and scientific meetings; (2) presentations to local and international stakeholders; (3) publications in peer-reviewed journals and (4) posts on organisational websites. PROSPERO REGISTRATION NUMBER: CRD42019134607.
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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 | 0.134 | 0.125 |
| Meta-epidemiology (narrow) | 0.008 | 0.008 |
| Meta-epidemiology (broad) | 0.023 | 0.029 |
| Bibliometrics | 0.018 | 0.017 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.008 | 0.008 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.052 | 0.009 |
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".