Bibliographic record
Abstract
目的 观察并探讨两种护理干预模式对轻度认知功能障碍（Mild cognitive impairment,MCI)患者认知功能的改善效果。 方法 对90例MCI患者实施认知训练和穴位按摩的护理干预模式作为干预组；此前1年仅接受认知训练护理干预的90例MCI患者作为对照组。护理前后采用蒙特利尔认知估量表（Montreal Cognitive Assessment,MoCA)和日常生活活动量表（ADL)分别在对患者的认知功能和日常生活活动能力进行评分。 结果 两组护理前MoCA和ADL相比，差异无统计学意义（t= 0.472、0.630,均P> 0.05）；护理6周和12周后干预组MoCA得分分别为（24.4±2.7）分和（26.2±3.3）分，对照组为（21.3±1.4）分和（22.9± 2.5）分，两组差异均有统计学意义（t= 4.993、3.905,均P< 0.05）；护理6周和12周后干预组ADL得分分别为（84.2±8.4）分和（88.4±9.7）分，对照组为（78.1±7.9）分和（82.6±8.5）分，两组差异均有统计学意义（t= 2.592、2.203,均P<0.05）。 结论 认知训练联合穴位按摩的护理干预模式能有效改善MCI患者的认知功能，提升患者的日常生活能力，有助于患者的病症的改善。
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".