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Viscosupplementation for Knee Osteoarthritis: Current Evidence and Recommendations

2013· article· en· W2011586225 on OpenAlexaff
Nathan Evaniew, Beate Hanson, Mitchell Winemaker

Bibliographic record

VenueJournal of Long-Term Effects of Medical Implants · 2013
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsViscosupplementationOsteoarthritisMedicineHyaluronic acidIntensive care medicinePhysical therapyModalitiesIntra articularDiseaseJoint diseasePhysical medicine and rehabilitationAlternative medicinePathology

Abstract

fetched live from OpenAlex

Osteoarthritis (OA) is the most common joint disorder worldwide and is a leading cause of pain and disability. Appropriate management of younger patients with milder disease remains a challenging area of intense research. Viscosupplementation attempts to restore the biomechanical and biochemical functions of normal synovial fluid hyaluronic acid. Several preparations with varying characteristics are currently available. The literature suggests a small benefit and relative safety, but several recent large meta-analyses have reported conflicting results. Major clinical guidelines provide inconclusive recommendations. Viscosupplementation may be a viable option in younger patients with milder OA where other non-operative modalities are also only modestly successful, but further investigation is clearly warranted. Limitations due to study heterogeneity, outcome reporting, and bias can each be addressed with improved research methodology.

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)0.012
metaresearch head score (Gemma)0.044
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 score0.012
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.044
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0050.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.026
GPT teacher head0.359
Teacher spread0.333 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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