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Clinical Observation of Sodium Oligomannate Capsules in the Treatment of Cognitive Dysfunction in Parkinson's Disease

2023· article· en· W4386605981 on OpenAlexaboutno aff
Guisheng Yin, Xiaohui Hu, Sanping Xie, Dehua Gong

Bibliographic record

VenueIndian Journal of Pharmaceutical Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsParkinson's diseaseMedicineDiseaseCognitionSodiumInternal medicinePsychiatryChemistry

Abstract

fetched live from OpenAlex

To observe the effect of sodium oligomannate capsules on cognitive dysfunction in Parkinson's disease. 120 patients with cognitive dysfunction were randomly divided into, 60 in treatment and 60 in control group and given sodium oligomannate capsules dose of 5 mg/d, 450 mg/d respectively and compared cognitive function scores (mini-mental state examination, Montreal cognitive assessment). After treatment, serotonin, dopamine, norepinephrine levels and event-related potential are measured. Compared with pre-treatment, the Montreal cognitive assessment and mini-mental state examination scores were significantly different after treatment (both p<0.05), and Montreal cognitive assessment and mini-mental state examination scores were significantly higher after treatment (both p<0.05). Compared to the control group, Montreal cognitive assessment and mini-mental state examination scores before treatment (both p>0.05), and Montreal cognitive assessment and mini-mental state examination scores were significantly increased after treatment (both p<0.01). Before treatment, serum serotonin, dopamine and norepinephrine levels were compared (p>0.05), and serotonin, dopamine and norepinephrine were higher than the control group (p<0.01). The latency period of N2 and P3 was significantly prolonged, and the N2 and P3 incubation periods were significantly reduced, with significant differences (p<0.01). Sodium oligomannate capsules can improve the cognitive function of Parkinson's disease patients by regulating neurotransmitter levels, reducing N2 and P3 latency, improving short and delayed memory and directional force.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.131
GPT teacher head0.418
Teacher spread0.287 · 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 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
Published2023
Admission routes1
Has abstractyes

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