Evaluation of the revised criteria for biological and clinical staging of Alzheimer's disease
Bibliographic record
Abstract
Abstract Background In the recent update of the Alzheimer's disease (AD) criteria, tau‐PET was introduced as a core biomarker, and its spatial extent was incorporated into the revised biological stages of the disease. Our objectives were to (1) implement the new criteria in a large research cohort and (2) compare individuals who have discrepant biological and clinical stages to those who have congruent stages in terms of co‐pathologies and demographics. Method We included 838 amyloid‐b‐positive participants from the BioFINDER‐2 cohort who had undergone tau‐PET ([ 18 F]RO948). We classified them on clinical staging (cognitively normal to dementia) and biological staging (early to advanced) (Figure 1A). We then compared individuals with congruent biological and clinical stage ("Reference" group) to those with more advanced clinical impairment than biological stage ("Clinical > Biological") and to those with the opposite pattern ("Biological > Clinical") on demographics, measures of neurodegeneration (cortical thickness, TDP‐43 MRI signature, NfL), alpha‐synuclein CSF status, GFAP, white matter lesions, infarcts and microbleeds. Result 37.7% of the sample were in the Reference group (grey squares), 51.3% were in the Clinical > Biological group (red squares) and 11.0% were in the opposite group, Biological > Clinical (blue squares) (Figure 1). The main differences (all results in Table 1) were between the Reference group and the Clinical > Biological group: the latter participants were older, included more men, were more often positive for alpha‐synuclein pathology, had higher NfL levels, greater TDP‐43 like atrophy and higher burden of cerebral small vessel disease lesions (all p FDR <0.05). The only difference observed between the Biological > Clinical and the Reference group was that the former had less neurodegeneration (thicker cortex, p FDR <0.01). Results were also consistent when analyses were adjusted for age and sex, or when further splitting the sample in five subgroups instead of three. Conclusion In this study we validated the new AD staging criteria and found that co‐pathologies play an important role in symptom severity in individuals harboring less tau tangle pathology than expected for their clinical impairment. These results highlight the importance of measuring non‐AD biomarkers in patients with worse cognitive impairment than expected based on their biological stage, which could impact clinical diagnosis and prognosis.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| 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".