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Record W2392327032

Observations on the Efficacy of Acupuncture plus Chinese Medicine Fumigation-washing in Treating Facial Neuritis

2013· article· en· W2392327032 on OpenAlexaboutno aff
WU Qing-hon

Bibliographic record

VenueShanghai zhenjiu zazhi · 2013
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcupunctureSignificant differenceTraditional Chinese medicineFumigationCure rateAcupuncture therapyClinical efficacyGrading scaleDry needlingTherapeutic effectSurgeryGrading (engineering)Internal medicineAlternative medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Objective To investigate the clinical efficacy of acupuncture plus Chinese medicine fumigation-washing in treating facial neuritis.Methods Eighty patients with facial neuritis were randomly allocated to treatment and control groups,40 cases each.The treatment group received acupuncture plus Chinese medicine fumigation-washing and the control group,acupuncture alone.The pre-and post-treatment House-Braekmann(H-B) grading scale scores and Toronto Facial Grading System(TFGS) scores were compared between the two groups.Results There was a statistically significant pre-/post-treatment difference in the TFGS score in the two groups(P0.05).There was a statistically significant post-treatment difference in the H-B grading scale score between the two groups(P0.05).The cure rate was 95.0% in the treatment group and 80.0% in the control group;there was a statistically significant difference between the two groups(P0.05).There was a statistically significant difference in the time to cure the disease between the two groups(P0.05).Conclusions Acupuncture plus Chinese medicine fumigation-washing is an effective way to treat facial neuritis.Its therapeutic effects is superior to that of acupuncture alone.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.335
Teacher spread0.281 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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