BackgroundBlood-based biomarkers are increasingly used as scalable front-line tools for Alzheimer's disease amyloid evaluation, but most are validated against amyloid positron emission tomography (PET) and/or cerebrospinal fluid (CSF) rather than neuropathology. In a chained validation cascade (neuropathology→PET→CSF→blood), reported performance may depend strongly on the comparator and on how "gray-zone" (indeterminate) results are handled.ObjectiveTo quantify benchmark dependence and gray-zone policy sensitivity in amyloid biomarker validation and characterize plasma-to-neuropathology performance inference from imperfect proxies.MethodsWe assembled a fully auditable evidence core spanning the amyloid cascade with reconstructable 2 × 2 tables. We recomputed positive percent agreement (PPA) and negative percent agreement (NPA) with 95% Wilson confidence intervals under a prespecified primary policy (exclude indeterminates) and two sensitivity policies (indeterminate→negative; indeterminate→positive). Reference-swap drift across benchmarks was summarized with Monte Carlo uncertainty intervals. For plasma-to-neuropathology inference, we combined plasma-PET agreement with tracer-specific PET-autopsy anchors and reported (i) chained-proxy point implications under conditional independence and (ii) partial-identification bounds without conditional independence across prevalence scenarios (π = 10-50%).ResultsUnder the primary policy, Lumipulse plasma pTau217/Aβ42 showed similar agreement across PET, CSF, and composite comparators (PPA 0.97-0.98; NPA ≈0.91), with drift intervals spanning zero. Indeterminates were frequent (∼19-20%) and dominated apparent shifts: indeterminate→negative reduced PPA by 0.13-0.21, whereas indeterminate→positive reduced NPA by 0.17-0.21. Chained-proxy implications for plasma versus neuropathology varied by PET tracer anchor (sensitivity 0.86-0.96; specificity 0.81-0.91), while bounds were wider (sensitivity 0.83-1.00; specificity 0.81-0.98).ConclusionsGray-zone policy is a first-order driver of reported blood-test performance, and proxy-to-proxy agreement does not uniquely identify plasma-to-neuropathology accuracy without explicit assumptions.
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Khushboo Verma
Satwant Kumar
Journal of Alzheimer s Disease
The University of Texas at Tyler
United Way of Smith County
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Verma et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69c37bd4b34aaaeb1a67ea27 — DOI: https://doi.org/10.1177/13872877261430858