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Record W2377018882

Application of high energy shock wave in treatment of chronic musculoskeletal pain

2003· article· en· W2377018882 on OpenAlexaboutno aff
Luo Su-yin

Bibliographic record

VenueZhonghua wuli yixue zazhi · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTreatment and control groupsMcGill Pain QuestionnairePhysical therapySignificant differenceVisual analogue scaleShock (circulatory)Chronic painAnesthesiaInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the effects of high energy shock waves in the treatment of chronic pain of scapulohumeral periarthritis and other musculoskeletal disorders, and to explore the mechanism and clinical application of this therapy. Methods Ninety outpatients were divided into two groups randomly: the treatment group was treated with high energy shock waves, while the control group with conventional physical therapy. All the patients were evaluated with McGill pain Questionnaire(MPQ). Results After the treatment, the treatment group improved markedly as compared with pre-treatment and control group, and the cure rate were higher than that of control group(P0.01). There was significant difference between two groups in total(T), affective(A) and visual analogous scale(VAS) scores(P0.01 or P0.05). There was significant difference in numbers of treatment needed for cure(P0.001). Conclusion High energy shock waves has valid effect for chronic musculoskeletal disorders, and is safe with no side-effects.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.006
GPT teacher head0.229
Teacher spread0.223 · 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 designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

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