Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort

In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous paired-sample design using the same 930 participants from the Bio-Hermes-001 study for both the Digital Clock and Recall® (DCR) and Cognivue Clarity® assessments. The assertion that our findings rely on “nonequivalent cohorts” or “outdated regulatory data” is factually incorrect; performance metrics were calculated de novo using the harmonized study dataset. Furthermore, we address the omission of the Cognivue Amyloid Risk Measure (CARM), noting that comparing a cross-validated predictive model (DCR) with a post hoc metric derived from the same dataset (CARM) would introduce significant bias due to overfitting. We conclude by highlighting how head-to-head comparisons in diverse cohorts align with the recently published Global CEO Initiative on Alzheimer’s Disease (CEOi) recommendations for digital cognitive assessment standards.

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Publication Details

Journal
Alzheimer s Research & Therapy
Published
2026-05-19
DOI
https://doi.org/10.1186/s13195-026-01987-9
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort

Alzheimer s Research & Therapy
Dementia and Cognitive Impairment Research
article

Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort

article en

Abstract

In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous paired-sample design using the same 930 participants from the Bio-Hermes-001 study for both the Digital Clock and Recall® (DCR) and Cognivue Clarity® assessments. The assertion that our findings rely on “nonequivalent cohorts” or “outdated regulatory data” is factually incorrect; performance metrics were calculated de novo using the harmonized study dataset. Furthermore, we address the omission of the Cognivue Amyloid Risk Measure (CARM), noting that comparing a cross-validated predictive model (DCR) with a post hoc metric derived from the same dataset (CARM) would introduce significant bias due to overfitting. We conclude by highlighting how head-to-head comparisons in diverse cohorts align with the recently published Global CEO Initiative on Alzheimer’s Disease (CEOi) recommendations for digital cognitive assessment standards.

Alzheimer s Research & TherapyVol. 18(1)
Harvard University (US), Radius Health (United States) (US), Hebrew SeniorLife (US)
Openalex Percentile: Top 5%
Dementia and Cognitive Impairment Research
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