Interventional treatments for chronic, axial or radicular, non-cancer, spinal pain: a protocol for a systematic review and network meta-analysis of randomised trials
Bibliographic record
Abstract
INTRODUCTION: Chronic, non-cancer, axial or radicular spinal pain is a common condition associated with considerable socioeconomic burden. Clinicians frequently offer patients various interventional procedures for the treatment of chronic spine pain; however, the comparative effectiveness and safety of available procedures remains uncertain. METHODS: We will conduct a systematic review of randomised controlled trials that explores the effectiveness and harms of interventional procedures for the management of axial or radicular, chronic, non-cancer, spine pain. We will identify eligible studies through a systematic search of Medline, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials and Web of Science from inception without language restrictions. Eligible trials will: (1) enrol primarily adult patients (≥18 years old) with axial or radicular, chronic, non-cancer, spine pain, (2) randomise patients to different, currently available, interventional procedures or to an interventional procedure and a placebo/sham procedure or usual care, and (3) measure outcomes at least 1 month after randomisation.Pairs of reviewers will independently screen articles identified through searches and extract information and assess risk of bias of eligible trials. We will use a modified Cochrane instrument to evaluate risk of bias. We will use frequentist random-effects network meta-analyses to assess the relative effects of interventional procedures, and five a priori hypotheses to explore between studies subgroup effects. We will use the Grading of Recommendations Assessment, Development and Evaluation approach to assess the certainty in evidence for each outcome, including direct, indirect and network estimates. ETHICS AND DISSEMINATION: Rapid Recommendations providing contextualised clinical guidance based on this body of evidence. PROSPERO REGISTRATION NUMBER: CRD42020170667.
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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 | 0.107 | 0.174 |
| Meta-epidemiology (narrow) | 0.008 | 0.005 |
| Meta-epidemiology (broad) | 0.024 | 0.035 |
| Bibliometrics | 0.015 | 0.016 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.050 | 0.008 |
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".