不同分期老年帕金森病认知功能水平与外周血γ-氨基丁酸(GABA)及血尿酸水平相关性研究
Bibliographic record
Abstract
目的探讨不同分期老年帕金森(Parkinson′s disease,PD)患者的认知功能水平与其外周血γ-氨基丁酸(γ-aminobutyric acid,GABA)及血尿酸(uric acid,UA)水平的相关性。方法选取2018年2月至2020年3月就诊本院的老年帕金森患者108例作为观察组,同时选择108例老年健康体检者,依据观察组患者的Hoehn-Yahr(H-Y)分期进行分组,采集患者蒙特利尔认知量表(Montreal Cognitive Assessment,MoCA)、GABA、UA水平,比较不同H-Y分期患者的认知功能、GABA、UA水平差异,并采用Spearson相关确定GABA、UA水平与患者MoCA量表内容的相关性。结果 PD患者中认知功能障碍发生率为54.63%(59/108);不同分期患者视空间与执行功能力、注意力、抽象力、MoCa量表总评分、GABA、UA水平均存在显著差异(P<0.05);PD患者的视空间与执行功能力、记忆力、MoCA量表总分与GABA水平呈显著正相关(P<0.05);PD患者的记忆力、注意力、定向力、MoCA量表总分与UA水平呈显著正相关(P<0.05)。结论不同H-Y分期的PD患者的认知功能差异主要集中在视空间与执行功能力、注意力、抽象力方面,GABA水平主要与PD患者的视空间与执行功能力、记忆力存在正相关,UA水平与记忆力、注意力、定向力存在正相关,不同分期PD患者的认知功能会随GABA、UA水平下降而降低。
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".