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Record W4220826263 · doi:10.3390/app12063165

Rehabilitation of Patients with Moderate Knee Osteoarthritis Using Hyaluronic Acid Viscosupplementation and Physiotherapy

2022· article· en· W4220826263 on OpenAlexaboutno aff
Ilie Onu, Daniela Matei, Dragos-Petrica Sardaru, Dan Caşcaval, Ana Onu, Robert Gherghel, Ionela Lăcrămioara Șerban, George Dănuţ Mocanu, Daniel Andrei Iordan, Gabriel Murariu, Anca‐Irina Galaction

Bibliographic record

VenueApplied Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsViscosupplementationMedicineOsteoarthritisPhysical therapyVisual analogue scaleWOMACRange of motionRehabilitationMassageTranscutaneous electrical nerve stimulationHyaluronic acidPhysical medicine and rehabilitationRandomized controlled trialSurgeryIntra articular

Abstract

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Knee osteoarthritis (KOA) is one of the most common public health problems which cannot be cured and ultimately leads to disability. Current management is largely limited to the treatment of the symptoms. To avoid the late stages of KOA that lead to knee replacement, the key point is to control and reduce destructive processes using efficient pharmacological products combined with physiotherapy (PT). Herein, we perform a monocentric observational study to compare the effect of combining a multi-modal physiotherapy regime and intra-articular (IA) injection with hyaluronic acid (HA) on the non-surgical treatment of KOA. Patients with mild KOA were randomly assigned to two groups to receive an HA injection with PT or an HA injection only. The assessment tools for pain, clinical disease severity, and disability were the total score on the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) (scores range from 0 to 96, with higher scores indicating worse pain, function, and stiffness), knee range of motion (ROM), pain on the visual analog scale (VAS), and muscle strength testing (MST). All tests were evaluated every 3 months up to 1 year from the baseline. The study enrolled 52 patients with ages between 47 and 61 years who were divided into two groups. Thirty-seven (n = 37) patients were randomized in the pilot group (PG) and received IA injections with the viscoelastic hyaluronic acid product (HA) combined with a multi-modal PT regime. The PT program included 10 sessions of transcutaneous electrical nerve stimulation, low-level laser therapy, ultrasound, physical exercise, and cryotherapy. Fifteen patients (n = 15) from the control group (CG) received the IA HA injections only. All patients were confirmed with mild KOA of Kellgren–Lawrence grade 2 on radiographs at the beginning of the treatment. The baseline characteristics, including the severity of pain and level of disability, were similar in the two groups. At baseline, the mean (±SD) WOMAC scores reported were 64.6 ± 4.08 in the CG and 64.5 ± 2.99 in the PG. Notably, at only 3 months into the study, the mean scores were significantly improved to 56.7 ± 5 in the CG and 48.27 ± 2.13 in the PG (mean between-group difference = 16.19 points; 95% confidence interval), finding favor for the combination of HA injections and physiotherapy. At the study’s endpoint (12 months), the scores were improved in both groups, with the mean between-group difference remaining significant (7.08 points, 95% confidence interval). A decrease in pain, as evaluated by the VAS scale, was reported for both groups, with the PG reporting a better VAS score that decreased from 5.7 to 2 when compared to the CG, which decreased from 5.7 to 3. The physical assessment parameters (ROM and MST) followed the same trend, with a rapid improvement in the ROM in the PG, changing from 98° to 115° in the first 3 months, and a slower and more steady evolution in the CG group, changing from 100° to 112° in 9 months. Herein, we report on the combination therapy of an intra-articularly administered HA viscoelastic product and a multi-modal physiotherapy regime, which can play a key role in the non-surgical treatment of KOA, effectively controlling pain, stiffness, and the ROM value and improving patients’ quality of life.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.262
Teacher spread0.253 · 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 designBench or experimental
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

Citations15
Published2022
Admission routes1
Has abstractyes

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