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Record W3209396291 · doi:10.1177/2325967121s00300

Efficacy of intra-articular injection of combined platelet-rich plasma and hyaluronic acid in knee degenerative joint disease (182)

2021· article· en· W3209396291 on OpenAlexaboutno aff
Pietro Randelli, Filippo Randelli, Fabio Sciancalepore, C Fossati, Stefano Pasqualotto, Alessandra Menon

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePlatelet-rich plasmaOsteoarthritisWOMACHyaluronic acidClinical trialSurgeryKnee JointIntra articularVisual analogue scalePopulationRandomized controlled trialPhysical therapyInternal medicinePlateletPathology

Abstract

fetched live from OpenAlex

Objectives: Osteoarthritis (OA) of the knee is a debilitating disease whose prevalence has increased across the world with aging population. Platelet-Rich Plasma (PRP) and Hyaluronic Acid (HA) injections appear to be two of the main strategies for conservative treatment of early knee OA. The effectiveness of both treatments, however, is still under debate because contrasting results have been described in the current literature. Some pre-clinical studies evaluated the association of PRP and HA with encouraging results, highlighting the possibility of a synergistic effect between the two compounds and suggesting a possible use through combined intra-articular injections. The aim of this prospective randomized controlled double-blind clinical trial is to evaluate the efficacy of intra-articular injections of PRP and HA for the treatment of early stages of knee degenerative joint disease in improving joint function and reducing pain, compared to the intra-articular injections of PRP and HA alone. Methods: Patients with knee early OA were prospectively enrolled and then double-blinded randomly divided into three groups of fifty-eight subjects each: HA alone, PRP alone and PRP+HA group. Patients received three intra-articular injections with two-week interval period among each dose. Patients clinical outcome was evaluated through five questionnaires [The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Tegner Activity, Visual Analogue Scale (VAS), Knee injury and Osteoarthritis Outcome Score (KOOS), and International Knee Documentation Committee (IKDC) Subjective Knee Form] before the treatment (T0) and after 3, 6 and 12 months from the first injection. Patients’use of paracetamol and supplementary analgesia for knee pain during the study was collected. Results: One hundred and seventy-four patients were enrolled in this study (age, 30-80 years; 108 females and 66 males) and 162 completed the 12-month follow-up. All patients showed significant clinical improvement after treatment. The analysis of covariance (ANCOVA) did not show statistically significant differences among the three groups for all the variables analysed at 6 and 12 months of follow-up (p>0.05).No significant differences were found in terms of adverse events (p=0.49) among the three groups of patients (p=0.92).The demand for paracetamol and supplementary analgesics was generally low and there were no significant differences among the groups (p=0.23 and p=0.56, respectively). Conclusions: Injections treatments for early knee OA are an important conservative therapeutic strategy. To date, the current literature presents many contrasting studies about the effectiveness of PRP or HA, but only a few consider the combined use of PRP and HA as attractive therapeutic option. Our study has not shown any significant difference in clinical and functional outcomes among the three experimental groups, suggesting a substantial equivalence of these three treatments. Thus, cost-effectiveness is in favor of HA injections in the conservative treatment of early 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.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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 designNon-randomized 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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