White Matter Disease Independently Predicts Progression from Mild Cognitive Impairment to Alzheimer’s Disease in a Clinic Cohort
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The contribution of vascular pathology to the rate of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) remains unclear. OBJECTIVE: To ascertain the relative roles of cerebral white matter disease and medial temporal atrophy (MTA) in predicting progression from MCI to AD. METHODS: MCI patients with baseline MRI and ≥18 months of longitudinal follow-up were evaluated. DSM-IV-TR criteria were used to diagnose conversion to dementia. MTA and white matter hyperintensity (WMH) were quantified using the Scheltens scale and modified Fazekas scale. RESULTS: Of a total of 171 MCI patients, 79 patients with baseline MRI and longitudinal follow-up were studied. Twenty-three MCI patients who progressed to dementia (MCI-P) were identified corresponding to a 19.4% annual risk of conversion. In MCI-P patients, the mean Mini-Mental State Examination and Montreal Cognitive Assessment decline was 1.3 and 2.9 points, respectively. MTA, periventricular WMH and deep subcortical WMH were significantly greater in the MCI-P cohort. WMH was found to predict MCI-P with an odds ratio of 7.69 (p = 0.03). CONCLUSION: MTA and deep subcortical WMH independently predict conversion from MCI to AD. Optimization of vascular risk factors among patients with MCI can potentially reduce the conversion from MCI to AD.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.007 | 0.001 |
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 it