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Record W2319304643 · doi:10.2106/jbjs.rvw.15.00098

Viscosupplementation in Knee Osteoarthritis: Evidence Revisited

2016· article· en· W2319304643 on OpenAlexaff
Herman Johal, Tahira Devji, Emil H. Schemitsch, Mohit Bhandari

Bibliographic record

VenueJBJS Reviews · 2016
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsSt. Michael's HospitalUniversity of TorontoMcMaster University
Fundersnot available
KeywordsViscosupplementationOsteoarthritisMedicinePhysical therapyEvidence-based medicineClinical trialRandomized controlled trialIntra articularAlternative medicineSurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

The body of evidence surrounding the use of viscosupplementation in knee osteoarthritis is extensive and fraught with heterogeneous trials with conflicting conclusions. Attempts to aggregate the evidence through systematic reviews, meta-analyses, and guidelines have also resulted in unclear, discordant recommendations. Closer examination reveals that the evidence around viscosupplementation favors clinically important reductions in pain among higher-molecular-weight and cross-linked formulations and is a safe option in patients with knee osteoarthritis. Further large trials assessing the use of viscosupplementation across various formulations in knee osteoarthritis may confirm subgroup findings from meta-analyses; however, immediate focus on improved knowledge translation is required to ensure evidence-based approaches to the treatment of knee osteoarthritis.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.064
metaresearch head score (Gemma)0.135
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.064
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.135
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.010
Bibliometrics0.0080.011
Science and technology studies0.0010.004
Scholarly communication0.0080.008
Open science0.0050.003
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.335
Teacher spread0.291 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations41
Published2016
Admission routes1
Has abstractyes

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