P2–240: Association between cognitive complaint and depressive symptoms in elderly individuals at risk of developing Alzheimer's disease
Bibliographic record
Abstract
Alzheimer's disease generally begins years before its clinical diagnosis and it can be identified in older adults with subjective cognitive impairment (SCI) or amnestic mild cognitive impairment (aMCI). Previous studies have suggested that the cognitive complaint of individuals with SCI or aMCI can be accounted for by the presence of depressive symptoms. But in aMCI, an alternative account is that the cognitive complaint simply mirrors the objective cognitive deficits of these individuals. To our knowledge, no study has compared the cognitive complaint of people having a SCI or aMCI and its association with depressive symptoms. The objective of this preliminary study is to characterize, compare and verify the association between the cognitive complaint and the presence of depressive symptoms in individuals with normal cognitive ageing (CTRL; n=10), SCI (n=6), or aMCI (n=18). The severity, the frequency, the duration and the impact (emotional/functional) of the cognitive complaint, on one hand, and the severity of depressive symptoms, on the other hand, were examined in all participants. To date, results indicate that cognitive complaint measures are similar between individuals with SCI and aMCI, but differ significantly from those of the CTRL group. For instance, some aspects of the complaint are more frequent in SCI (e.g. finances management) or aMCI (e.g. formulation of ideas) compared to participants in the CTRL group. However, these differences are no longer significant when depressive symptoms are included as a covariate in the analyses. Also, SCI and aMCI have more depressive symptoms than CTRL individuals, but the former two groups do not differ between them. Overall, this preliminary study reveals that the cognitive complaint is associated with depressive symptoms in individuals at risk of developing Alzheimer's disease, and that SCI and aMCI have similar complaint and depressive profiles. On a semiological point of view, the present findings strengthen the hypothesis that SCI is a pre-aMCI and a preclinical stage of Alzheimer's disease. The present study is still underway in order to confirm its preliminary findings using a larger sample size.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".