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Record W4283455794 · doi:10.1155/2022/7117704

Study on the Correlation between Chinese Medicine Syndrome and Cognitive Dysfunction in Mild Cognitive Impairment

2022· article· en· W4283455794 on OpenAlexaboutno aff
Zhiying Lin, Tianwen Huang, Guan-Yi Zheng, Runqiong Chen, Ming-Long Yao, Wenhong Liu, Shujie Li

Bibliographic record

VenueEvidence-based Complementary and Alternative Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTraditional Chinese medicinePhlegmBlood stasisInternal medicineCognitionDementiaDown syndromeCardiologyPathologyPsychiatryDisease

Abstract

fetched live from OpenAlex

Objective. To investigate the correlation between Chinese medicine syndrome and cognitive dysfunction in patients with mild cognitive impairment (MCI). Methods. 121 MCI patients were included for syndrome differentiation and syndrome scoring according to the Chinese medicine syndrome classification standard of senile dementia. The cognitive function and cognitive subitems (including visual space and executive function, naming, attention, language, abstraction, delayed recall, and orientation) of patients with different Chinese medicine syndromes were scored with the Montreal Cognitive Assessment (MoCA). Correlation analysis was made on Chinese medicine syndromes and cognitive domain damage. Results. Chinese medicine syndromes from most to least were kidney deficiency and marrow reduction syndrome, turbid phlegm obstructing orifices syndrome, deficiency of heart and spleen syndrome, qi stagnation and blood stasis syndrome, and yin deficiency of heart and liver syndrome. There were no significant differences in MoCA scores among different Chinese medicine syndromes ( P > 0.05 ).In the kidney deficiency and marrow reduction syndrome, the delayed recall score was 1.74 ± 1.23 and the difference was statistically significant when compared with deficiency of heart and spleen syndrome or the yin deficiency of heart and liver syndrome ( P < 0.05 ). In the turbid phlegm obstructing orifices syndrome, the delayed recall score was 1.81 ± 1.33 and the difference was statistically significant when compared with the yin deficiency of heart and liver syndrome ( P < 0.05 ). There was a significant negative correlation between the kidney deficiency and marrow reduction syndrome’s Chinese medicine syndrome scores and MoCA scores ( P < 0.01 ), and there was a negative correlation between the turbid phlegm obstructing orifices syndrome’s Chinese medicine syndrome scores and MoCA scores ( P < 0.05 ). Correlation analysis showed that the kidney deficiency and marrow reduction syndrome was significantly negatively correlated with delayed recall scores ( P < 0.01 ), and it was also negatively correlated with visual space and executive function scores ( P < 0.05 ). The turbid phlegm obstructing orifices syndrome was significantly negatively correlated with delayed recall scores ( P < 0.01 ). Conclusion. The kidney deficiency and marrow reduction syndrome and the turbid phlegm obstructing orifices syndrome were the most common syndromes in MCI. Patients with kidney deficiency and marrow reduction syndrome might have obvious damage in delayed recall function and have damage in visual space and executive function. Patients with turbid phlegm obstructing orifices syndrome might have obvious damage in delayed recall function.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.364
Teacher spread0.240 · 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 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

Citations8
Published2022
Admission routes1
Has abstractyes

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