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Record W4287009744 · doi:10.3390/ijerph19159001

Comparative Effectiveness of Focused Extracorporeal versus Radial Extracorporeal Shockwave Therapy for Knee Osteoarthritis—Randomized Controlled Study

2022· article· en· W4287009744 on OpenAlexaboutno aff
Nai-Yu Ko, Chih-Ning Chang, Chu-Han Cheng, Hui-Kung Yu, Gwo‐Chi Hu

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsExtracorporeal shockwave therapyOsteoarthritisWOMACMedicineVisual analogue scaleExtracorporealPhysical therapyRange of motionRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

Both focused extracorporeal shockwave (f-ESWT) and radial extracorporeal shockwave therapy (r-ESWT) can alleviate symptoms in patients with knee osteoarthritis, but no trials have directly compared f-ESWT with r-ESWT for knee osteoarthritis. This study aimed to compare the effectiveness of f-ESWT and r-ESWT on knee osteoarthritis. Forty-two patients with bilateral knee osteoarthritis were randomly assigned to receive three sessions of either f-ESWT or r-ESWT at 1-week intervals. The patients were evaluated at baseline and at 4 and 8 weeks after the final treatment. The primary outcome was the change in pain intensity, as measured on the visual analog scale (VAS). Secondary outcomes included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), range of motion of the knee joint, and the 6-minute walk test. At the end of 4 weeks, the VAS score was substantially reduced in both groups (f-ESWT, -4.5 ± 2.5 points; r-ESWT, -2.6 ± 2.0 points), with a greater reduction in the f-ESWT group. Both groups showed significant improvement in secondary outcomes; however, the f-ESWT group yielded greater improvement in the VAS score, WOMAC score, and 6-minute walk test. Our results showed that f-ESWT was more effective than r-ESWT in improving pain and physical function in patients with knee osteoarthritis.

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)0.006
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.085
GPT teacher head0.404
Teacher spread0.320 · 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 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

Citations31
Published2022
Admission routes1
Has abstractyes

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