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Record W3015818258 · doi:10.23958/ijirms/vol05-i04/859

Comparison of the Effectiveness of Intraarticular Ozone Therapy and Platelet Rich Plasma Treatment in Patients with Knee Osteoarthritis

2020· article· en· W3015818258 on OpenAlexaboutno aff
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Bibliographic record

VenueInternational Journal of Innovative Research in Medical Science · 2020
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACMedicinePlatelet-rich plasmaVisual analogue scaleHyaluronic acidOzone therapyRandomized controlled trialInternal medicinePhysical therapyAnesthesiaPlateletPathology

Abstract

fetched live from OpenAlex

Background: Platelet rich plasma (PRP) has been applied for a long time in osteoarthritis (OA). Although there are studies about PRP that examining the effectiveness with agents such as hyaluronic acid and corticosteroid, there are few published literature comparing with ozone therapy (OT). The aim of this study is to compare the pain severity and functional status of OA patients undergoing intraarticular ozone and PRP injections. Methods: In a study which is made as prospective, randomized controlled study (RCS), 49 patients were included the study. In the first group (n = 24) OT, in the second group (n = 25) PRP injections were administered intraarticularly 3 times in total with one week intervals. Visual pain scale (VAS) and severity of pain were compared with Western Ontario McMaster Osteoarthritis Index (WOMAC). Results: In the PRP group, WOMAC pain, physical function and WOMAC total score were significantly lower than the OT group (p ˂ 0.05). Although VAS score decreased significantly (p ˂ 0.05) after treatment in both groups compared to pretreatment, the VAS score in the PRP group was significantly (p ˂ 0.05) lower than the OT group after treatment. Conclusion: Our study contributes to the literature in terms of limited publication about OT. However, this study shows that the results of PRP treatment are superior to OT in the treatment of knee 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 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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.092
GPT teacher head0.433
Teacher spread0.341 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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