Evidence map›Paper›PMID 42483443›Full record

ReviewFrontiers in neurology

From cognitive screening to digital phenotyping: rethinking early detection of cognitive impairment in primary care.

Miren Altuna

Abstract readReview
In one paragraph

Review in Frontiers in neurology. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Miren AltunaCenter for Research and Memory Clinic, CITA-Alzheimer Foundation, Donostia-San Sebastián, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of cognitive impairment has become a clinical and public-health priority in the therapeutic era of Alzheimer's disease (AD). Brief instruments such as the Mini-Mental State Examination, Montreal Cognitive Assessment, Mini-Cog, Clock Drawing Test, Fototest, Memory Alteration Test, Eurotest, and AD8 remain widely used because they are inexpensive, clinically interpretable, and feasible in routine care. However, most were developed to identify established cognitive impairment rather than subtle mild cognitive impairment or biologically defined early AD. Ceiling effects, educational and cultural bias, examiner variability, and limited integration with functional, neuropsychiatric, subjective, and biomarker data restrict their value as stand-alone tools in contemporary diagnostic pathways. Digital cognitive assessment may address selected limitations of conventional screening by standardizing administration, reducing scoring variability, enabling repeated measurement, and capturing process-level features such as response latency, intra-individual variability, learning effects, speech and language markers, graphomotor dynamics, gaze, and ecologically sampled behavior. These signals may support earlier risk stratification and longitudinal monitoring, but they do not resolve diagnostic uncertainty or establish AD etiology on their own. This narrative review examines the transition from traditional cognitive screening to digital cognitive phenotyping. It considers established brief and contextual instruments, digitized conventional tests, remote repeated assessments, speech and language-derived digital cognitive biomarkers, digital clock drawing, prospective-memory tools, virtual reality and serious games, oculomotor and graphomotor metrics, passive sensing, multimodal platforms, and their integration with structural MRI, blood-based biomarkers, cerebrospinal fluid markers, and amyloid/tau PET. In the context of evolving AD criteria and disease-modifying therapies, digital screening should be understood as a governed triage and phenotyping layer rather than a stand-alone diagnostic label. A staged pathway is proposed that combines analog cognitive instruments, informant and functional measures, neuropsychiatric assessment, digital signals, and biological markers to support earlier, more equitable, and clinically actionable detection of cognitive impairment.

Indexed as

Alzheimer’s diseaseartificial intelligencecognitive screeningdigital biomarkersmild cognitive impairmentprimary carespeech analysis

Identifiers

PMID42483443
PMCPMC13384893

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.