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Record W2381032047

Efficacy studies of hyperbaric oxygen and donepezil hydrochloride joint intervention for mild vascular cognitive impairment

2013· article· en· W2381032047 on OpenAlexaboutno aff
Song Leguan

Bibliographic record

VenueChina Modern Doctor · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHyperbaric oxygenMontreal Cognitive AssessmentDonepezilCognitive impairmentSignificant differenceAnesthesiaInternal medicineDementia
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the clinical effects with hyperbaric oxygen and hydrochloric donepezil combination therapy.For mild vascular cognitive impairment.Methods A total of 180 cases with mild vascular cognitive impairment were selected in our hospital from July 2011 to August 2012 and divided into four groups,each group had 45 cases,group Ⅰ were treated with hyperbaric oxygen treatment,group Ⅱ were treated with donepezil hydrochloride treatment,group Ⅲ were treated with hyperbaric oxygen combined with donepezil hydrochloride,group Ⅳ were treated with ginkgo biloba treatment.We compared MOCA ratings of the four groups of patients before and after treatment and before and after treatment MOCA score difference.Results Compared with before treatment MOCA score in the After treatment,Ⅰ,Ⅱ,Ⅲ,Ⅳ group were significantly higher,and there were significant differences(P 0.05).Group Ⅲ patients MOCA score difference was significantly higher than Ⅰ,Ⅱ and Ⅳ patients(P 0.05);group Ⅰ,Ⅱ patients MOCA core difference was significantly higher than that of the group Ⅳ(P 0.05);group Ⅱ patients MOCA score difference was slightly higher than the group Ⅰ,there were not have significant difference between the two groups(P 0.05).Conclusion Mild vascular cognitive impairment in patients with hyperbaric oxygen and hydrochloric acid donepezil combination therapy to the patient's symptoms are significantly improved and delay.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.066
GPT teacher head0.306
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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