Neuropsychiatric Disturbances in Mild Cognitive Impairment (MCI): A Systematic Review of Population-Based Studies
Bibliographic record
Abstract
Mild cognitive impairment (MCI) is a nosological entity associated with a higher risk of developing dementia. Previous evidence indicates that behavioral and psychological symptoms of dementia (BPSDs) frequently occur in individuals of MCI. These neuropsychiatric manifestations may predict conversion to dementia. However, no updated systematic review has been conducted aiming to investigate the prevalence of BPSDs in MCI in general population samples. We conducted a systematic review to summarize research results regarding the prevalence of any or specific BPSDs in MCI subjects out of the clinical setting, compared to subjects who are either cognitively intact and/or demented. The PubMed/MEDLINE, EMBASE, and PsycInfo databases were searched from January 1st, 1990 to January 3rd, 2015 for general population studies in which the prevalence of BPSDs in individuals with MCI was estimated. Twenty-one studies met inclusion criteria. Studies varied in overall methodological quality as evaluated with a modified version of the New Castle-Ottawa Scale for cross-sectional studies. Depression (median prevalence: 29.8%; range: 6.8-63.3%), sleep disturbances (median prevalence: 18.3%; range: 7.9-49.0%), and apathy (median prevalence: 15.2%; range: 2.3-18.5%) were the more frequent BPSDs across studies. The prevalence range for any BPSD was 12.8-66.0%. No consistent pattern for differences in the prevalence of BPSDs according to MCI subtype emerged. Studies considered different diagnostic criteria for MCI and used different instruments to assess BPSDs in this population. In conclusion, BPSDs are prevalent among communitydwelling individuals with MCI. However, consistent socio-demographic and clinical correlates for BPSDs in this population remains to be established.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.014 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".