Evidence map›Paper›PMID 39399008›Full record

ArticlemedRxiv : the preprint server for health sciences2025

A scoping review of remote and unsupervised digital cognitive assessments in preclinical Alzheimer's disease.

Sarah E Polk, Fredrik Öhman, Jason Hassenstab, Alexandra König, Kathryn V Papp, Michael Schöll, David Berron

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Fredrik Öhman
Jason Hassenstab
Alexandra König
Kathryn V Papp

Funding

Ahead of the Curve: Early detection and monitoring of learning decrements in Alzheimers diseaseR01AG084017 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Kathryn Victoria Papp · 2024 to 2026
$2.5M
NIA NIH HHS R01 AG084017
6 · The paper itself

Abstract

Characterizing subtle cognitive changes in preclinical Alzheimer's disease (AD) is difficult using traditional neuropsychological assessments. Remote and unsupervised digital assessments can improve scalability, measurement reliability, and ecological validity, enabling the capture of subtle changes. We evaluate such tools for use in preclinical AD, or cognitively unimpaired individuals with abnormal levels of AD pathology. We screened 1,904 reports for studies remotely assessing cognition in preclinical AD samples. Twenty-three tools were identified and their usability, reliability, and validity, including construct and criterion validity based on in-person neuropsychological and Aβ/tau measures, was reported. We present a necessary update to a rapidly evolving field, following our previous review (Öhman et al., 2021) and address open questions of feasibility and reliability of remote testing in older adults. Future applications of such tools are discussed, including longitudinal monitoring of cognition, scalable case finding, and individualized prognostics in both clinical trials and healthcare contexts.

Identifiers

PMID39399008
PMCPMC11469392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.