Treatment options for back pain provided online in Canadian magazines: Comparison against evidence from a clinical practice guideline
Bibliographic record
Abstract
Background: Evidence-based treatments for adult back pain have long been confirmed, with research continuing to narrow down the scope of recommended practices. However, a tension exists between research-driven treatments and unsubstantiated modalities and techniques promoted to the public. This disparity in knowledge translation, which results in unsupported treatments continuing to be performed, may be linked to the information dispensed by the mass media. Objectives: The aim of this study was to review the top 20 most circulated Canadian-produced general-interest and health-specific magazines to determine whether featured treatment options align with recommendations for back pain management in a Canadian clinical practice guideline (CPG). Methods: Online electronic searches of magazine websites were performed using the following terms: ‘back pain’, ‘low back pain’ (English); ‘ mal au dos’, ‘ lombalgie’, ‘ mal de dos’ and ‘ maux de dos’ (French). Independent reviewers screened for articles focusing on treatment, abstracted recommendations from included articles and then compared featured treatments with those outlined in the CPG. Results: A total of 1,775 articles were screened, with 82 articles from 15 magazines included. Articles cited scientific studies or consulted spine-care professionals in 7/15 and 9/15 magazines, respectively. There were 18 categories of treatments reported with 4/18 (22%) treatment options in agreement with CPG recommendations for acute/sub-acute and chronic back pain. Yoga/Stretching/Tai Chi/Pilates and Exercise/Physical activity were the most commonly reported treatment categories. Conclusion: Encouragingly, the majority of treatment options reported for low back pain were non-surgical. Overall, few articles recommended reassurance, back pain education or back-specific postural/strengthening/flexibility exercises. Popular magazines should provide details on article authors, cite scientific reports, consult spine-care professionals and provide relevant links to literature for readers to access more scientific information.
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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 | 0.036 | 0.243 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.041 | 0.048 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".