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Record W4408211615 · doi:10.1016/j.ocarto.2025.100596

Efficacy of intra-articular injections for the treatment of osteoarthritis: A narrative review

2025· review· en· W4408211615 on OpenAlex
Sam Si‐Hyeong Park, Biao Li, Christopher Kim

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.

Bibliographic record

VenueOsteoarthritis and Cartilage Open · 2025
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsKrembil FoundationWomen's College Hospital
Fundersnot available
KeywordsOsteoarthritisNarrative reviewMedicineIntra articularNarrativePhysical therapyAlternative medicineIntensive care medicineArtPathologyLiterature

Abstract

fetched live from OpenAlex

Osteoarthritis (OA) is a prevalent degenerative joint disease characterized by progressive cartilage loss, inflammation, and joint dysfunction. With profound effects on joint function and quality of life, OA imposes a substantial socio-economic burden. As of now, OA remains incurable, lacking approved medications, regenerative therapies, or procedures that can halt the progressive destruction of the joint. Intraarticular (IA) injections have emerged as a cornerstone in the management of knee OA, offering localized minimally invasive therapeutic options. Traditional IA therapies, including corticosteroids and hyaluronic acid (HA), primarily aim to reduce pain but lack regenerative capacity. Biologic IA therapies for knee OA including autologous blood-derived products like platelet-rich plasma (PRP), bone marrow aspirate concentrate (BMAC) and mesenchymal stromal cells (MSCs) have become more commonly used. Finally, newer IA therapies such as fibroblast growth factor 18 and gene therapy are being investigated. In this review, we highlight the current evidence around IA injections for the treatment of knee OA.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.032
GPT teacher head0.346
Teacher spread0.314 · 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