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Record W4381190050 · doi:10.1136/bmjopen-2022-068743

Efficacy of the combination therapy of platelet-rich plasma and hyaluronic acid on improving knee pain and dysfunction in patients with moderate-to-severe KOA: a protocol for a randomised controlled trial

2023· article· en· W4381190050 on OpenAlexaboutno aff
Yiying Mai, Jiangshan Zhang, Guohang Huang, Juanjuan He, Xiangfu Liu, Lukun Guo, Zhenhai Wei, Li Jiang

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsnot available
FundersSun Yat-sen University
KeywordsMedicineHyaluronic acidPlatelet-rich plasmaRandomized controlled trialPhysical therapyProtocol (science)Musculoskeletal painClinical trialInternal medicinePlateletAlternative medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: 54% of patients with moderate-to-severe knee osteoarthritis (KOA) still reported persistent pain and functional loss after conservative treatment according to guidelines. As an emerging treatment, platelet-rich plasma (PRP) has been proven to significantly relieve pain and improve activity function in patients with mild-to-moderate KOA, either used alone or in combination with hyaluronic acid (HA). However, it is still unclear of its efficacy in moderate-to-severe KOA. This study aims to evaluate the clinical efficacy of PRP and the combination therapy of PRP and HA in patients with moderate-to-severe KOA and to explore the potential synergistic effect of PRP and HA. METHODS AND ANALYSIS: This triple-blind randomised controlled trial will involve a total of 162 participants with moderate-to-severe KOA from two study centres. Participants will be allocated randomly into three groups: the HA group, the PRP group and the combination (PRP+HA) group and, respectively, receive HA (2.5 mL)+saline (3 mL)/PRP (3 mL)+saline (2.5 mL)/PRP (3 mL)+HA (2.5 mL) intra-articular injection each week for 4 consecutive weeks. All of the injections will be performed under the guidance of ultrasound. The primary outcome is the change of Western Ontario and McMaster Universities Osteoarthritis Index from baseline to 6 months, and secondary outcomes include the change of ultrasound images (suprapatellar bursa effusion and synovitis), Timed Up and Go test and 12-Item Short-Form Health Survey. All outcomes will be evaluated at baseline and 1-month, 3-month and 6-month follow-ups. Data will be analysed on intention-to-treat principles and a per-protocol basis. ETHICS AND DISSEMINATION: This protocol was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Sun Yat-sen University (reference number (2021)-02-231-02). The study results will be submitted to a peer-reviewed journal. TRIAL REGISTRATION NUMBER: ChiCTR2100050974.

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)0.032
metaresearch head score (Gemma)0.029
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.033
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.029
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0120.008
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0040.003
Open science0.0040.002
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0330.006

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 head0.039
GPT teacher head0.339
Teacher spread0.300 · 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
GenreProtocol

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

Citations14
Published2023
Admission routes1
Has abstractyes

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