Sex Differences in Associations of Lewy Body Disease with Alzheimer's Disease and Cognitive Decline
Bibliographic record
Abstract
OBJECTIVE: To investigate how sex and age at menopause influence the interplay between Alzheimer's disease (AD) and Lewy body disease (LBD) neuropathologies, and their associations with cognitive decline. METHODS: We analyzed data from: (1) three Rush Alzheimer's Disease Center cohorts (i.e., the Religious Orders Study, Rush Memory and Aging Project, and Minority Aging Research Study), and (2) the National Alzheimer's Coordinating Center Neuropathology Data Set. Neuropathological evaluation assessed LBD (neocortical/limbic-type vs none) and AD, including neuritic plaques (β-amyloid plaques surrounded by dystrophic neurites) and neurofibrillary tangles. In each dataset, we tested interactive associations between LBD and sex on neuritic plaques, neurofibrillary tangles, and cognitive decline. Additionally, in the Rush dataset, we tested whether age at spontaneous menopause modified the associations of LBD with neuritic plaques, neurofibrillary tangles, and cognitive decline in women. RESULTS: In the Rush dataset, we included 1,277 women and 579 men. In the National Alzheimer's Coordinating Center dataset, we included 3,283 women and 3,563 men. Across both datasets, men were more likely to have LBD, whereas women showed greater neuritic plaque and neurofibrillary tangle burdens. Sex modified the associations of LBD with neurofibrillary tangles (but not neuritic plaques), whereby LBD was more strongly associated with greater neurofibrillary tangle burden in women than men. Men showed faster LBD-related cognitive decline, whereas women showed faster neurofibrillary tangle-related decline, after adjusting for copathologies (neuritic plaques, neurofibrillary tangles, and LBD, as appropriate). In women, earlier age at menopause exacerbated the associations of LBD with neurofibrillary tangle burden and episodic memory decline. INTERPRETATION: Sex may influence AD and LBD neuropathologies, highlighting the need for precision approaches to dementia prevention and intervention. ANN NEUROL 2025;98:1014-1026.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".