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Record W2373031544

Extracorpereal shock wave therapy for scapulohumeral periarthritis:a single blind study

2009· article· en· W2373031544 on OpenAlexaboutno aff
Yong Chen

Bibliographic record

VenueZhongguo kangfu yixue zazhi · 2009
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRange of motionSingle blindPhysical therapyMcGill Pain QuestionnaireSurgeryRandomized controlled trialVisual analogue scale
DOInot available

Abstract

fetched live from OpenAlex

Objective:To evaluate clinical outcomes of extracorpereal shock wave therapy(ESWT) to scapulohumeral periarthritis in a single blind study.Method:Forty-seven patients with chronic,symptomatic scapulohumeral periarthritis were tested.A single blind controlled study was performed with 26 cases undergone ESWT(ESWT group) and 21 treated by joint mobilization combined with shortwave therapy(control group).Pain and functional assessment were carried out according to the Short Form McGill Pain Questionaire(SF-MPQ) and range of motion(ROM).SF-MPQ was assessed pre-and post-treatment,and at the 1st week,4th week and 8th week after the course of treatment and ROM was assessed pre-and post-treatment merely.Result:Patients of both groups got obvious relief in shoulder pain and great improvement of ROM,but compared with control group,there was no significant difference in SF-MPQ scores and promotion of ROM in ESWT group.Conclusion:As a good tolerant,safe,and time saving therapy,ESWT can be utilized as an alternative treatment for scapulohumeral periarthritis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.072
GPT teacher head0.342
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized 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

Citations0
Published2009
Admission routes1
Has abstractyes

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