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Record W2390099484

Therapeutic Efficacy of Mineral Bath Combined with Direct Current Vinegar Ion Import on Knee Osteoarthritis

2013· article· en· W2390099484 on OpenAlexaboutno aff
Da He

Bibliographic record

VenueMilitary Medical Journal of South China · 2013
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACMedicineElectrotherapySignificant differencePhysical therapyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the therapeutic efficacy of the mineral bath in Xingcheng spring combined with direct current vinegar ion import on knee osteoarthritis.Methods A total of 123 patients with osteoarthritis were divided into therapy group and control group by simple random grouping method.The control group accepted mineral bath in Xingcheng and medium frequency electrotherapy.The therapy group accepted mineral bath and direct current introduction of vinegar ion.The cases were assessed with the osteoarthritis index from the University of Western Ontario and McMaster University(WOMAC osteoarthritis index) before,after and 3 months after the therapy to evaluate the efficacy.Results Before therapy,there was no statistical difference in WOMAC indexes between the two groups(P0.05).After therapy,the WOMAC index of both groups were improved and there was no statistical difference between two groups(P0.05).Three months after therapy,the WOMAC indexes of both groups were decreased in comparison with that after therapy and there was statistical difference between two groups(P0.05).Conclusion The therapy of mineral bath in Xingcheng combined with direct current vinegar ion import is effective on knee osteoarthritis especially in the long run.It helps to ease the pain,improve and restore the joint function,and improve the life quality.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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 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
Published2013
Admission routes1
Has abstractyes

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