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Comparative efficacy of intra-articular hyaluronic acid and corticosteroid injections in the management of knee osteoarthritis

2023· article· en· W4388208442 on OpenAlexaboutno aff
Narendra Singh Kushwaha, Pushprajan Chauhan, Ashutosh Verma, Rajan Kumar Kaushal, Mohit Kumar Patel, Shambhu Kumar

Bibliographic record

VenueInternational Journal of Research in Orthopaedics · 2023
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicineWOMACCorticosteroidVisual analogue scaleHyaluronic acidPhysical therapyViscosupplementationRandomized controlled trialInternal medicineIntra articularAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background: Osteoarthritis management includes a myriad of treatment modalities. This study compared the effects of corticosteroid and Hylan G-F 20 injections on knee osteoarthritis outcomes. Methods: Patients were randomized to receive either corticosteroid or Hylan G-F 20 injections. Outcome measures included the Western Ontario and McMaster Universities Osteoarthritis Index, knee society rating system scores, and visual analog scale scores, collected at baseline, 3 months, and 6 months. Results: Baseline demographic and clinical parameters were comparable between both groups. The corticosteroid group demonstrated a significant decrease in the WOMAC score over time (p<0.001). Hylan G-F 20 group showed significant improvements in both the WOMAC scores and Visual Analog Scale scores over time (p<0.01). Gender-based sub-analysis suggested both treatments were effective in men, while in women, significant benefits were seen only with Hylan G-F 20. Conclusions: Both corticosteroid and Hylan G-F 20 demonstrated efficacy in managing knee osteoarthritis, albeit in different domains. The results suggest the need for individualized treatment plans and further research into potential gender-based variations in treatment response.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.065
GPT teacher head0.397
Teacher spread0.332 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2023
Admission routes1
Has abstractyes

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Same venueInternational Journal of Research in OrthopaedicsSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207