Cerebrospinal Fluid Profiles and Prospective Course and Outcome in Patients With Amnestic Mild Cognitive Impairment
Bibliographic record
Abstract
OBJECTIVES: To examine the effect of specific cerebrospinal fluid (CSF) profiles on the rate of cognitive decline, disease progression, and risk of conversion to Alzheimer disease (AD) dementia in patients with amnestic mild cognitive impairment (MCI). DESIGN: Total tau (T-tau), tau phosphorylated at threonine 181, and β-amyloid 1-42 peptide (Aβ42) were immunoassayed in CSF samples obtained from patients with MCI enrolled in the Alzheimer's Disease Neuroimaging Initiative. Patients were then stratified by CSF profiles: (1) normal T-tau and normal Aβ42 (ie, normal-T-tauAβ42), (2) normal T-tau but abnormal Aβ42 (ie, abnormal-Aβ42), (3) abnormal T-tau but normal Aβ42 (ie, abnormal-T-tau), and (4) abnormal T-tau and abnormal Aβ42 (ie, abnormal-T-tauAβ42). SETTING: Fifty-eight sites in the United States and Canada. PARTICIPANTS: One hundred ninety-five patients with MCI. MAIN OUTCOME MEASURES: A composite cognitive measure, the Clinical Dementia Rating Scale-sum of boxes subscale, and conversion to AD dementia. RESULTS: Patients with MCI with a CSF profile of abnormal-Aβ42 or abnormal-T-tauAβ42 experienced a faster rate of decline on the composite cognitive measure and the Clinical Dementia Rating Scale-sum of boxes subscale compared with those with normal-T-tauAβ42. They also had a greater risk of converting to AD dementia relative to the normal-T-tauAβ42 group. In contrast, those with a CSF profile of abnormal-T-tau did not differ from the normal-T-tauAβ42 group on any outcome. These findings were generally replicated when the sample was reclassified by patterns of tau phosphorylated at threonine 181 and Aβ42 abnormalities. CONCLUSIONS: β-Amyloid abnormalities but not tau alterations are associated with cognitive deterioration, disease progression, and increased risk of conversion to AD dementia in patients with MCI. Patients with abnormal Aβ42 may be prime candidates for drug treatment and clinical trials in MCI.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".