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Record W4414195602 · doi:10.2106/jbjs.25.00239

Injection-Based Therapies for the Management of Hip and Knee Osteoarthritis

2025· article· en· W4414195602 on OpenAlexaff
Matthew Seah, Michael E. Neufeld, Lisa C. Howard, Donald S. Garbuz, Bassam A. Masri

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOsteoarthritisAdverse effectDosingClinical trialSalineHyaluronic acidPain managementOrthopedic surgery

Abstract

fetched live from OpenAlex

➢ Corticosteroid injections are largely safe, but patients and practitioners should be aware of the small risk of adverse side effects, and their limited duration of efficacy. The timing of injection should be coordinated with potential surgical dates.➢ The routine use of hyaluronic acid injections for osteoarthritis is not recommended, but there are certain subsets of patients, such as those who have undergone other therapies that failed, who may benefit from it.➢ Local anesthetics are frequently used in conjunction with corticosteroids for enhanced pain control; however, caution is needed because of concerns regarding chondrotoxicity. Proper patient selection is crucial, and their overuse for diagnostic purposes is not recommended.➢ There is currently insufficient evidence to support the routine use of prolotherapy, bone marrow aspirate concentrate, stromal vascular fraction, and mesenchymal stromal cell injections.➢ Intra-articular saline solution has been associated with improvements in both patient-reported pain and function scores, and this should be considered in future study designs.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.004

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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
Published2025
Admission routes1
Has abstractyes

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