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Record W2560211219 · doi:10.2340/16501977-2148

Radial extracorporeal shock wave therapy for disabling pain due to severe primary knee osteoarthritis

2016· article· en· W2560211219 on OpenAlexaboutno aff
Marta Imamura, S Alamino, Wu Tu Hsing, Fábio Marcon Alfieri, Christoph Schmitz, Linamara Rizzo Battistella

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
FundersUniversidade de São Paulo
KeywordsExtracorporeal shock wave therapyOsteoarthritisMedicinePhysical medicine and rehabilitationPhysical therapyKnee painSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the efficacy and safety of radial extracorporeal shock wave therapy (rESWT) for disabling pain due to primary knee osteoarthritis. DESIGN: Randomized, placebo-controlled trial (level of evidence, 1). SUBJECTS: A total of 105 women with disabling pain due to primary knee osteoarthritis lasting for a mean of 103 months (range 3-480 months). METHODS: Patients received either rESWT (3 sessions, each one week apart, 2,000 rESWT impulses per session, positive energy flux density 0.10-0.16 mJ/mm2) or placebo treatment. Primary outcome measure was pain on movement 3 months after the final treatment session. Secondary outcomes were pain, stiffness and limitations in physical function on the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index and the level of tolerance to pressure over muscles, tendons, ligaments and skin at both the treated and the untreated side at 1 week and 3 months follow-up examinations. RESULTS: Compared with placebo treatment, rESWT led to a statistically significant improvement only in mean WOMAC scores for pain and a few of the pressure measurements. CONCLUSION: rESWT, as performed in the present study, is not efficient for treating patients with disabling pain due to primary knee osteoarthritis. Published data indicate that substantially higher energy flux densities are necessary for treatment success in this condition.

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)0.002
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 score0.953
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.015
GPT teacher head0.274
Teacher spread0.260 · 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

Citations59
Published2016
Admission routes1
Has abstractyes

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