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Record W4410499991 · doi:10.3390/jcm14103553

Clinical Efficacy of Platelet-Rich Plasma and Hyaluronic Acid Versus Hyaluronic Acid for Knee Osteoarthritis with MRI Analysis: A Randomized Controlled Trial

2025· article· en· W4410499991 on OpenAlexaboutno aff
Mandy Zhang, Kelvin Chew, Mon Hnin Tun, Kenneth Sheah, Victor Tan, Baoying Lim, Chung Sien Ng, Benedict Tan

Bibliographic record

VenueJournal of Clinical Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersChangi General Hospital
KeywordsMedicineWOMACOsteoarthritisPlatelet-rich plasmaHyaluronic acidMinimal clinically important differenceVisual analogue scaleRandomized controlled trialViscosupplementationQuality of life (healthcare)Internal medicinePhysical therapySurgeryPlateletPathologyIntra articular

Abstract

fetched live from OpenAlex

Background: Some evidence suggests that combining hyaluronic acid (HA) with platelet-rich-plasma (PRP) may offer synergistic benefits by enhancing the biological and mechanical properties of joints. However, data on the combination of HA+PRP vs. HA alone in the management of knee osteoarthritis (OA) remain limited. Methods: A double-blinded randomized controlled trial was conducted at an outpatient clinic and enrolled 58 patients with Kellgren–Lawrence grade 2–3 knee OA. They were randomly allocated to receive either intra-articular PRP combined with HA (n = 29 knees) or HA alone (n = 29 knees). The primary outcome was pain, assessed using a visual analog scale (VAS). Secondary outcomes included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), health-related quality of life (EQ-5D-5L), and structural changes on MRI, measured by the Whole-Organ MRI Score (WORMS). The VAS, WOMAC, and EQ-5D-5L were evaluated at baseline and at months 1, 3, 6, and 12. MRI WORMS was assessed at baseline and 12 months. Results: The baseline characteristics were comparable between the HA+PRP and HA groups. Both interventions showed improvements in pain and function at 12 months. However, the between-group difference in VAS at 12 months—the primary outcome—was not statistically significant (p = 0.102) and did not exceed the minimal clinically important difference (MCID) of 20 mm. The HA group demonstrated significantly greater VAS score reductions at 1 month (−31.1 [95% CI: −38.9 to −23.2] vs. −14.3 [95% CI: −22.2 to −6.4], p = 0.003) and at 6 months (−32.1 [95% CI: −40.1 to −24.1] vs. −19.2 [95% CI: −27.1 to −11.3], p = 0.024), compared to the HA+PRP group, although these differences did not reach clinical significance. No significant between-group differences were observed in the WOMAC scores, EQ-5D-5L, or total WORMS scores at all time points (p > 0.05). At 12 months, MRI assessment revealed a significant decrease in bone marrow edema in the HA+PRP group (−0.7 [95% CI: −1.6 to 0.2]) compared to the HA group (0.7 [95% CI: −0.2 to 1.6], p = 0.030). Conclusions: Both HA+PRP and HA treatments were effective in reducing pain and improving function in patients with knee OA over 12 months. While HA demonstrated greater early pain relief, the addition of PRP was associated with a significant reduction in bone marrow edema at 12 months. These findings suggest potential structural benefits of HA+PRP, although clinical superiority over HA alone was not established.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.030
GPT teacher head0.381
Teacher spread0.351 · 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 designRandomized trial
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

Citations4
Published2025
Admission routes1
Has abstractyes

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