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Record W2380095440

Effect of epalrestat combined with methylcobalamin on senior′s diabetic peripheral neuropathy

2012· article· en· W2380095440 on OpenAlexaboutno aff
Lili Cai

Bibliographic record

VenueShiyong yaowu yu linchuang · 2012
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMethylcobalaminMedicinePeripheral neuropathyNerve conduction velocityPeripheralDiabetic neuropathyInternal medicineSurgeryDiabetes mellitusEndocrinologyVitamin B12
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the curative effect of epalrestat combined with methylcobalamin on the senior′s diabetic peripheral neuropathy(DPN).Methods 100 senior patients with diabetic peripheral neuropathy were randomly divided into two groups.Treatment group(n=50)received epalrestat combined with methylcobalamin.Control group(n=50)received only methylcobalamin.The changes of TCSS(Toronto clinical scoring system)scores,motor and sensory nerve conduction velocity(MCV and SCV)of bilateral common peroneal nerve after 12 weeks were analyzed.Results After treatment,TCSS scores and conduction velocity(MCV and SCV)of bilateral common peroneal nerve of the 2 groups were obviously improved(P0.05),and significant differences were observed between the 2 groups(P0.05).Conclusion Epalrestat combined with methylcobalamin has ideal clinical curative effect on senior′s diabetic peripheral neuropathy,and it is superior to single drug treatment.

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)0.000
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
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.007
GPT teacher head0.262
Teacher spread0.255 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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