Evidence map›Paper›PMID 42574695›Full record

ArticleNeurology2026

Comparison of Brain Age With Standard MRI Assessment for Dementia Risk Stratification in Subjective and Mild Cognitive Impairment.

Stefan De Vries, Katalin Farkas, Hanneke F M Rhodius-Meester, Argonde Corien Van Harten, Calvin Trieu, Alle Meije Wink, Lyduine E Collij, Jyrki Lötjönen, Wiesje M Van Der Flier, Frederik Barkhof and 2 more

Abstract readComparative Study
In one paragraph

Article in Neurology, 2026. 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

12 authors.

Stefan De VriesDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0009-0004-5413-6322
Katalin FarkasDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0009-0006-3156-9410
Hanneke F M Rhodius-MeesterGeriatric Medicine, The Memory Clinic, Oslo University Hospital, Norway.
Argonde Corien Van HartenAmsterdam Neuroscience, Neurodegeneration, the Netherlands.
Calvin TrieuAmsterdam Neuroscience, Neurodegeneration, the Netherlands.ORCID 0000-0001-6266-2198
Alle Meije WinkDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0000-0002-8197-0118
Lyduine E CollijDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0000-0001-6263-1762
Jyrki LötjönenCombinostics Ltd, Tampere, Finland.ORCID 0000-0002-8698-4340
Wiesje M Van Der FlierAmsterdam Neuroscience, Neurodegeneration, the Netherlands.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0000-0003-3543-3706
Bas JasperseDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0000-0003-1577-8299
Mara Ten KateDepartment of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands.ORCID 0009-0000-0175-7847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesEarly dementia risk-stratification is crucial for timely intervention. Brain-predicted age difference (brain-PAD) derived from structural MRI reflects the gap between computer-estimated age and chronological age and has been linked to clinical progression to dementia. We evaluate whether brain-PAD has prognostic value for progression to dementia in subjective cognitive decline (SCD) and mild cognitive impairment (MCI) and whether brain-PAD provides added value beyond visual rating scales.

methodsThis retrospective cohort study included patients with SCD and MCI with up to 10-year follow-up assessments from the Amsterdam Dementia Cohort and SCIENCe project. Brain-PAD was computed from baseline MRI using 2 pretrained methods. Cox proportional hazards models assessed the association between brain-PAD and risk of progression to dementia, controlling for age, sex, Mini Mental State Examination, and visual rating scales. We tested interactions between brain-PAD and baseline diagnosis to assess stage-specific value and evaluated the added value beyond amyloid status in a biomarker-available subset.

resultsThe study included 799 patients (SCD 412, MCI 387; 39.4% female, 63.3 ± 8.0 years). During a median follow-up of 3.2 years, 235 (29.4%) progressed to dementia. Higher brain-PAD was associated with an increased risk of progression to dementia (hazard ratio [HR] 1.04, 95% CI 1.02-1.06) and improved model fit beyond visual ratings (χ DISCUSSION: MRI-derived brain-PAD predicts progression to dementia in memory clinic patients with SCD or MCI. In particular, brain-PAD provided additional predictive value to visual rating scales in patients with SCD.

Indexed as

BrainCognitive DysfunctionDementiaMagnetic Resonance ImagingAgedDisease ProgressionFemaleHumansMaleMiddle AgedRetrospective StudiesRisk Assessment

Identifiers

PMID42574695
PMCPMC13474414

What Socratic holds

Textmetadata
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.