Evidence map›Paper›PMID 41787066›Full record

ArticleCommunications medicine2026

Spatial navigation as a digital marker for clinically differentiating cognitive impairment severity.

Giorgio Colombo, Karolina Minta, William R Taylor, Jascha Grübel, Eddie Chong, Joyce R Chong, Mark J H Lim, Paul Nichol G Gonzales, Mitchell K P Lai, Christopher P Chen and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

11 authors.

Giorgio Colombo *Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore, Singapore. gicolombo@ethz.ch.
Karolina Minta *Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore, Singapore.
William R TaylorFuture Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore, Singapore.ORCID http://orcid.org/0000-0003-4060-4098
Jascha GrübelDepartment of Network and Data Science, Central European University, Vienna, Austria.
Eddie ChongDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Joyce R ChongDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mark J H LimDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0003-1503-3342
Paul Nichol G GonzalesMemory, Aging and Cognition Centre, National University Health System, Singapore, Singapore.
Mitchell K P LaiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-7685-1424
Christopher P ChenDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-1047-9225
Victor R SchinaziFuture Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore, Singapore.ORCID http://orcid.org/0000-0002-2345-2806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpatial navigation impairments emerge early in Alzheimer's disease, but assessments targeting these deficits remain underutilised or impractical for cognitive screening. The Spatial Performance Assessment for Cognitive Evaluation (SPACE) is a newly developed digital tool that evaluates spatial navigation deficits associated with cognitive impairment.

methodsWe assessed spatial navigation ability using SPACE in 300 older adults recruited from memory clinics and the general community. Participants were classified across different levels of cognitive impairment using the Clinical Dementia Rating (CDR) scale. Performance in SPACE was compared with clinical diagnosis, standard cognitive assessments, and demographic models using Area Under the ROC Curve (AUC), sensitivity, and specificity.

resultsWe show that SPACE reliably distinguishes CDR levels, exceeding the accuracy of demographic models and matching or surpassing most traditional neuropsychological tests. Including SPACE significantly increases the AUC for distinguishing between no dementia from mild dementia (0.76 to 0.94), no dementia from moderate dementia (0.79 to 0.95), and questionable dementia from mild dementia (0.70 to 0.91), all with consistently high sensitivity and specificity. A shortened version of SPACE, lasting less than 11 minutes, reduces administration time by 40% while maintaining high diagnostic accuracy. Cross-validation analyses confirm the reliability and robustness of these models.

conclusionsThese findings highlight the potential of digital spatial navigation assessments to advance early detection, contributing to scalable and accessible healthcare.

Identifiers

PMID41787066
PMCPMC13086951

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LicenceCC BY
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Registered trials

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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.