Applying the Alzheimer Disease ATN Diagnostic Framework in Atypical Dementia
Bibliographic record
Abstract
Cerebrospinal fluid (CSF) biomarkers amyloid-β and tau have been validated for the antemortem diagnosis of Alzheimer disease (AD) and are included in the AT(N) research framework for AD. Recently, an AT(N) CSF profile has been described for dementia with Lewy bodies (DLB), a disorder which is difficult to distinguish clinically from AD, particularly early in the disease course. Herein we describe a 71-year old male who presented with an atypical dementia syndrome including years of stability after an initial abrupt decline, marked visuospatial dysfunction, and relative sparing of memory. CSF biomarkers combined with the pattern of cognitive symptoms made AD unlikely and were consistent with DLB. This classification was confirmed clinically, with the emergence of classic DLB symptoms, and at postmortem pathologic examination. This case highlights the role for AD CSF biomarkers in facilitating earlier diagnosis of non-Alzheimer neurodegenerative dementias.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".