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Record W2093705260 · doi:10.1111/1756-185x.12165

A random, case‐control study on the efficacy and safety of <scp>W</scp>eishi <scp>B</scp>itong <scp>X</scp>ifang fumigation for mild and moderate knee osteoarthritis patients

2013· article· en· W2093705260 on OpenAlexaboutno aff
Hao Zhang, Tao Liu, Feiyue Li

Bibliographic record

VenueInternational Journal of Rheumatic Diseases · 2013
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersState Administration of Traditional Chinese Medicine of the People's Republic of China
KeywordsFumigationMedicineOsteoarthritisWOMACVisual analogue scalePhysical therapyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the efficacy and safety of Weishi Bitong Xifang fumigation for treating patients with knee osteoarthritis (KOA). METHODS: A total of 100 KOA patients were randomly assigned to receive Weishi Bitong Xifang fumigation and washing (fumigation group, n = 50) or unctions of votalin emulgel (Voltaren emulgel group, n = 50) by means of a computer-generated random-number table. All the patients received two courses of therapy (2 weeks per course). Visual analogue scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) were used to assess the curative effect. RESULTS: Visual analogue scale and WOMAC scores were significantly improved in both groups after treatment. However, VAS, stiffness and functional scores in the fumigation group were significantly lower than those in the Voltaren emulgel group after 4 weeks of treatment. In addition, the occurrence rate of adverse effects in the fumigation group was also lower than that of the Voltaren emulgel group. CONCLUSION: Weishi Bitong Xifang fumigation is an effective and safe method for treating KOA patients and should be widely applied in clinics.

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)0.005
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 score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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