Cerebrospinal Fluid Correlates of Neuropsychiatric Symptoms in Patients with Alzheimer’s Disease/Mild Cognitive Impairment: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Neuropsychiatric symptoms (NPS) are common, accelerate the conversion to dementia, and are associated with increased caregiver burden in Alzheimer's disease (AD) and mild cognitive impairment (MCI). OBJECTIVE: The aim of this study is to identify potential associations between the core cerebrospinal fluid (CSF) biomarkers (amyloid/tau) and NPS in AD/MCI. METHODS: For this systematic review, four databases, PubMed (1946-2018), Cochrane (2005-2018), EMBASE (1947-2018), and PsycINFO (1806-2018) were searched for relevant observational studies using an extensive list of keywords. English studies were selected for critical appraisal based on our inclusion/exclusion criteria. Inclusion criteria were defined as 1) at least one AD CSF biomarker has been measured; 2) at least one NPS has been assessed; and 3) analysis has been done to examine the association between core AD CSF biomarker and NPS (main outcome). Animal, postmortem, and review studies were excluded. RESULTS: In total, 21 studies qualified for the systematic review. The overall picture regarding the association between NPS and AD CSF biomarkers is conflicting. However, agitation/aggression was significantly and consistently related to core AD CSF biomarkers. Moreover, depression was the only NPS to occasionally be associated with lower core AD CSF pathology. CONCLUSION: Our study has revealed agitation/aggression as the most consistent NPS related to core AD CSF biomarkers. Future studies are required to focus on other neglected NPS domains such as disinhibition. Moreover, why depression was the only NPS inversely associated with core AD CSF pathology remains to be elucidated. Our study also revealed a great degree of heterogeneity, hence calling for a more standardized "objective" approach for the evaluation of NPS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".