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Extracorporeal shock wave therapy, joint mobilization and short wave therapy in treating scapulohumeral periarthritis

2010· article· en· W3030661796 on OpenAlexaboutno aff
Ning Zhou, Bin Shou, Yong Chen, Jun Peng, Xiang Yue

Bibliographic record

VenueZhonghua wuli yixue zazhi · 2010
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsExtracorporeal shock wave therapyMedicineRange of motionExtracorporealJoint mobilizationShoulder jointSurgeryRandomized controlled trialPhysical therapy

Abstract

fetched live from OpenAlex

Objective To compare the immediate effects of extracorporeal shock wave therapy with that of joint mobilization plus short wave therapy in treating scapulohumeral periarthritis, and to elucidate the mechanism of extracorporeal shock wave therapy and how it should be used. Methods Forty-seven patients diagnosed with scapulohumeral periarthritis were selected and randomized into two groups, a treatment group (n = 26) treated with extracorporeal shock wave therapy, and a control group ( n = 21 ) treated with joint mobilization plus short wave therapy. The short form of the McGill pain questionnaire (SF-MPQ) and range of motion (ROM) measurements were used to evaluate shoulder function. Results Compared with baseline, both groups improved significantly af-ter treatment, but the immediate effect in the treatment group was superior to that in the control group. Concln-sions As a safe, time-saving and effective therapy, extracorpnreal shock waves could be used to treat scapulo-humeral periarthritis. Key words: Scapulohumeral periarthritis ;  Extracorporeal shock wave therapy ;  Pain ;  Range of motion

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.292
Teacher spread0.246 · 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.

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
Published2010
Admission routes1
Has abstractyes

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