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Record W2379288872

[Different stimulation intensities of acupuncture at Hegu (LI 4) for central facial nerve paralysis after ischemic stroke: a randomized controlled trial].

2014· article· en· W2379288872 on OpenAlexaboutno aff
Lingxin Li, Guang Tian, Zhihong Meng, Xiaonong Fan, Chunhong Zhang, Xuemin Shi

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcupunctureFacial paralysisAnesthesiaPalsyFacial nerveRandomized controlled trialParalysisStimulationSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To observe the clinical efficacy of acupuncture at Hegu (LI 4) on central facial nerve paralysis after ischemic stroke, and explore dose-effect relationship among different stimulation intensities of acupuncture at Hegu (LI 4) as well as its optimal treatment plan. METHODS: According to different acupuncture stimulation intensities which were based on treatment time and needle insertion direction, fifty patients were randomly divided into a Hegu 1 group, a Hegu 2 group, a Hegu 3 group, a Hegu 4 group and a control group, ten cases in each one. Different stimulation intensities of acupuncture at Hegu (LI 4) combined with facial paralysis acupoints, including Yingxiang (LI 20), Dicang (ST 4), Jiache (ST 6) and Quanliao (SI 18), were applied in Hegu 1 to 4 groups; meanwhile acupuncture at stroke acupoints, including Neiguan (PC 6), Shuigou (GV 26) and Sanyinjiao (SP 6), and medication treatment were adopted. Except acupuncture at Hegu (LI 4), the treatment of the control group was identical as Hegu groups. The treatment duration lasted for 14 days. The House-Brackmann facial never grading systems (H-B), Toronto facial grading system (TFGS), degrees of facial never paralysis (DFNP), facial disability index (FDI) and clinical efficacy were compared among groups. RESULTS: (1) Compared before the treatment, H-B, TFGS, DFNP and physical function score in FDI were all improved significantly in the Hegu 1 to 4 groups (all P < 0.05), but social function score in FDI was not obviously improved (all P > 0.05); all the scores in the control group were not evidently changed (all P > 0.05). (2) Compared with the control group, differences of H-B before and after treatment in the Hegu 1 to 4 groups, differences of TFGS in the Hegu 2 group and differences of DFNP in the Hegu 1 and Hegu 2 group were significantly improved (all P < 0.05). The differences of any scale among Hegu 1 to 4 groups were not significant (all P > 0.05), in which the most evident change was found in Hegu 2 group. (3) The total effective rate was 90.0% (9/10), 100.0% (10/10), 90.0% (9/10) and 80.0% (8/10) in Hegu 1 to 4 groups, which were significantly higher than 60.0% (6/10) in the control group (all P < 0.05). CONCLUSION: Acupuncture at Hegu (LI 4) has affirmative clinical efficacy on central facial nerve paralysis after ischemic stroke, in which oblique insertion along the opposite direction of meridian for 5 s of twirling manipulation has the best clinical effect.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations6
Published2014
Admission routes1
Has abstractyes

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