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Record W2536699597

교통사고로 유발된 경항통 환자의 근에너지기법(MET)의 효과에 대한 임상적 연구

2009· article· ko· W2536699597 on OpenAlexaboutno aff
진태동, 이한길, 홍서영, 허동석, 윤일지

Bibliographic record

Venue한방재활의학과학회지 · 2009
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyMcGill Pain QuestionnaireNeck painAnesthesiaVisual analogue scale
DOInot available

Abstract

fetched live from OpenAlex

Objectives: The purpose of this study is to find out the effects of muscle energy techniques on nuchal pain caused by traffic accidents. Methods: The 20 patients were divided into 2 groups: group A was treated except muscle energy techniques and group B was treated with muscle energy techniques. Both groups were treated with acupunture treatment, physical theraphy and herbal medication. Patients were evaluated by McGill Pain Questionnaire-Short Form(SF-MPQ), Pain Disability Index(PDI) and Neck Disability Index(NDI) in traffic accident patients. Results: 1. Both Group were significantly decreased in sensory of SF-MPQ, VAS, PDI and NDI after 7 days of treatment. 2. Group B compared with the Group A was significantly decresed in VAS, PDI after 7 days of treatment. Conclusions: We found out that muscle energy techniques is considered to be effective and useful on nuchal pain caused by traffic accidents.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.009

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 head0.097
GPT teacher head0.457
Teacher spread0.360 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2009
Admission routes1
Has abstractyes

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