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Record W4313245908 · doi:10.3390/jpm13010048

The Short-Term Efficacy of Large-Focused and Controlled-Unfocused (Radial) Extracorporeal Shock Wave Therapies in the Treatment of Hip Osteoarthritis

2022· article· en· W4313245908 on OpenAlexaboutno aff
Volkan Şah

Bibliographic record

VenueJournal of Personalized Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsExtracorporeal shock wave therapyMedicineOsteoarthritisExtracorporealTerm (time)SurgeryPathologyPhysicsAlternative medicine

Abstract

fetched live from OpenAlex

Although the classical treatments listed in the guidelines for osteoarthritis are widely used, the majority of patients do not fully recover from their pain. It is a fact that new treatment methods are needed both to relieve pain and restore deteriorated joint function. No study has been found to date that evaluated the efficacy of ESWT in hip OA. This pilot trial is the first in the literature to investigate the comparative effects of the two ESWT types (f-ESWT and r-ESWT) in the treatment of hip OA. Briefly, 148 patients were randomly distributed into the three ESWT groups: focused (f-ESWT), radial (r-ESWT), and sham (s-ESWT). Patients were assessed with the Visual Analog Scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores just before the treatment (0 week), just after the treatment (4th week), and 1 month after completion of the treatment (8th week). VAS and all WOMAC scores were significantly reduced at follow-up points (4th and 8th weeks) in both the f-ESWT and r-ESWT groups compared with baseline (0 week) (for all, p < 0.001). Statistical comparisons between the f-ESWT and r-ESWT groups showed that f-ESWT was superior to r-ESWT for the decrease in VAS and WOMAC scores from baseline to the 4th and 8th weeks (p < 0.001 or p < 0.002). Both r-ESWT and f-ESWT were found to have significant treatment efficacy compared with s-ESWT. However, f-ESWT produced a superior improvement in follow-up parameters compared to r-ESWT.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.027
GPT teacher head0.296
Teacher spread0.269 · 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 designOther design
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

Citations2
Published2022
Admission routes1
Has abstractyes

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