Pre-psychosis in later life as a risk factor for progressive cognitive decline: Findings from the IPA psychosis in neurodegenerative disease working group
Bibliographic record
Abstract
Pre-clinical Alzheimer's disease (AD) has traditionally been characterized by subtle cognitive deficits alongside biomarker changes. However, emerging evidence suggests a spectrum of neuropsychiatric changes, including apathy, affective disturbances, agitation, impulse control deficits, and psychosis, may precede cognitive decline. Late-onset psychotic disorders, such as Very Late-Onset Schizophrenia-Like Psychosis (VLOSLP), differ from pre-psychosis, the latter presenting with subtle symptoms and retained insight. These subtler late-life onset symptoms are associated with incident cognitive decline, particularly in APOE4 carriers. Screening with tools such as the Mild Behavioral Impairment Checklist (MBI-C) enables the standardisation of measurement, facilitating identification of at-risk individuals. Plasma biomarkers and neuropsychological assessments further aid diagnosis and risk stratification. Understanding the link between pre-psychosis and dementia-related psychosis will be crucial, as AD with psychosis is associated with a more aggressive disease course. Identifying and treating these individuals early may improve clinical outcomes and facilitate timely intervention with disease-modifying therapies. Moreover, there remains a need to better define in what circumstances treatment interventions are indicated and what those interventions should be.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".