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Record W2766734654 · doi:10.1177/0017896917715779

Treatment options for back pain provided online in Canadian magazines: Comparison against evidence from a clinical practice guideline

2017· article· en· W2766734654 on OpenAlex
Jhase Sniderman, Darren M. Roffey, Richard Lee, Gabrielle D. Papineau, Isabelle H. Miles, Eugene K. Wai, Stephen Kingwell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Education Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineGuidelineBack painPhysical therapyAlternative medicineLow back painMEDLINEFamily medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.746
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.151
GPT teacher head0.531
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it