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Record W3000036091 · doi:10.1002/acr.24131

2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis of the Hand, Hip, and Knee

2020· review· en· W3000036091 on OpenAlexafffund
Sharon L. Kolasinski, Tuhina Neogi, Marc C. Hochberg, Carol A. Oatis, Gordon Guyatt, Joel A. Block, Leigh F. Callahan, Cindy Copenhaver, Carole Dodge, David T. Felson, Kathleen Gellar, William F. Harvey, Gillian Hawker, Edward Herzig, C. Kent Kwoh, Amanda E. Nelson, Jonathan Samuels, Carla R. Scanzello, Daniel K. White, Burton L. Wise, Roy D. Altman, Dana DiRenzo, Joann Fontanarosa, Gina Giradi, Mariko Ishimori, Devyani Misra, Amit Shah, Anna Shmagel, Louise M. Thoma, Marat Turgunbaev, Amy S. Turner, James Reston

Bibliographic record

VenueArthritis Care & Research · 2020
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of TorontoMcMaster University
FundersDaiichi Sankyo EuropeSchool of Medicine, University of North Carolina at Chapel HillNational Institute of Arthritis and Musculoskeletal and Skin DiseasesEMD SeronoU.S. Department of Veterans AffairsUniversity of TorontoUniversity of PennsylvaniaOmeros CorporationZynerba PharmaceuticalsRegeneron PharmaceuticalsMargaret A. Cargill FoundationMcMaster UniversityArcadia FundArthritis FoundationRush UniversityNovartis PharmaSchool of Medicine, Boston UniversityUniversity of MinnesotaGlaxoSmithKlineUniversity of California, DavisAstellas PharmaNYU Langone Medical CenterPfizerYork UniversityEli Lilly and CompanyBristol-Myers SquibbAgios PharmaceuticalsTufts Medical CenterJohns Hopkins University
KeywordsMedicinePhysical therapyOsteoarthritisGuidelinePopulationRheumatologyPsychosocialInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To develop an evidence-based guideline for the comprehensive management of osteoarthritis (OA) as a collaboration between the American College of Rheumatology (ACR) and the Arthritis Foundation, updating the 2012 ACR recommendations for the management of hand, hip, and knee OA. METHODS: We identified clinically relevant population, intervention, comparator, outcomes questions and critical outcomes in OA. A Literature Review Team performed a systematic literature review to summarize evidence supporting the benefits and harms of available educational, behavioral, psychosocial, physical, mind-body, and pharmacologic therapies for OA. Grading of Recommendations Assessment, Development and Evaluation methodology was used to rate the quality of the evidence. A Voting Panel, including rheumatologists, an internist, physical and occupational therapists, and patients, achieved consensus on the recommendations. RESULTS: Based on the available evidence, either strong or conditional recommendations were made for or against the approaches evaluated. Strong recommendations were made for exercise, weight loss in patients with knee and/or hip OA who are overweight or obese, self-efficacy and self-management programs, tai chi, cane use, hand orthoses for first carpometacarpal (CMC) joint OA, tibiofemoral bracing for tibiofemoral knee OA, topical nonsteroidal antiinflammatory drugs (NSAIDs) for knee OA, oral NSAIDs, and intraarticular glucocorticoid injections for knee OA. Conditional recommendations were made for balance exercises, yoga, cognitive behavioral therapy, kinesiotaping for first CMC OA, orthoses for hand joints other than the first CMC joint, patellofemoral bracing for patellofemoral knee OA, acupuncture, thermal modalities, radiofrequency ablation for knee OA, topical NSAIDs, intraarticular steroid injections and chondroitin sulfate for hand OA, topical capsaicin for knee OA, acetaminophen, duloxetine, and tramadol. CONCLUSION: This guideline provides direction for clinicians and patients making treatment decisions for the management of OA. Clinicians and patients should engage in shared decision-making that accounts for patients' values, preferences, and comorbidities. These recommendations should not be used to limit or deny access to therapies.

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)0.008
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0090.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0050.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0170.013

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 head0.371
Teacher spread0.328 · 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 designNot applicable
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

Citations2,484
Published2020
Admission routes2
Has abstractyes

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