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Record W2421315014

[Treatment of type 2 diabetic peripheral neuropathy patients of qi-yin deficiency complicated phlegm-dampness blocking collaterals syndrome by internal application of qigui mixture and external application of qigui huoxue lotion: a clinical study].

2014· article· en· W2421315014 on OpenAlexaboutno aff
Jie Liu, Sun Bing, Bo Ban, Mei Zhang, Hailing Sun, Ping Li, Yanying Li, Yanhong Zhang

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNerve conduction velocityPhlegmPeripheral neuropathyYin deficiencyAnesthesiaTraditional Chinese medicineAcupunctureCommon peroneal nerveSurgeryMotor nerveInternal medicineGastroenterologyDiabetes mellitusEndocrinologyAnatomyPathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the efficacy of internal application of Qigui Mixture (QM) and external application of Qigui Huoxue Lotion (QHL) in treating type 2 diabetic peripheral neuropathy (DNP) patients of qi-yin deficiency complicated phlegm-dampness blocking collaterals syndrome (QYD-PDBCS), and to primarily discuss its mechanism. METHODS: Totally 62 DPN patients of QYD-PDBCS were randomly assigned to the treatment group (31 cases) and the control group (31 cases). All patients received routine comprehensive therapy. Patients in the control group took Mecobalamine Tablet, 500 microg each time, 3 times per day. Patients in the treatment group additionally took QM, 200 mL per day, twice daily. Besides, they had foot bath in QHL 10 - 15 min every evening for 3 months. The efficacy was assessed by Chinese medical symptom integrals and Toronto clinical scoring system (TCSS) before treatment, 2 and 3 months after treatment. The nerve conduction velocity was determined; the serum levels of total antioxidant capacity (T- AOC), malondialdehyde (MDA), and superoxide dismutase (SOD) were detected 2 and 3 months after treatment. RESULTS: The total effective rates of Chinese medical symptom integrals and TCSS score were obviously higher in the treatment group than in the control group (P < 0.05). The nerve conduction velocity was significantly improved in the treatment group, when compared with before treatment (P < 0.01). There was statistical difference in the nerve conduction velocity difference of right median nerve motor branch, bilateral tibial nerve motor branches, bilateral common peroneal nerve motor branches, bilateral ulnar nerve sensory branches, and left tibial nerve sensory branch (P < 0.05). Compared with before treatment, serum levels of T-AOC and SOD significantly increased, and the level of MDA decreased significantly in the treatment group after 2 and 3 months of treatment (P < 0.01). But only the SOD level increased significantly in the control group (P < 0.01). There was no statistical difference in increased T-AOC level between the two groups after 2 months of treatment (P > 0.05), but there was statistical difference in increased SOD level and decreased MDA level (P < 0.05). There was statistical difference in increased T-AOC and SOD levels and decreased MDA level between the two groups after 3 months of treatment (P < 0.05). No adverse reaction occurred during the therapeutic course. CONCLUSIONS: The internal application of QM and external application of QHL combined with Mecobalamine in treating DPN was safe and effective, with more significant efficacy than using Mecobalamine alone. Its mechanism might be associated with resistance to oxidative stress.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.271
Teacher spread0.251 · 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 designNon-randomized 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

Citations2
Published2014
Admission routes1
Has abstractyes

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