Evidence map›Paper›PMID 42158267›Full record

ArticleNeurology. Genetics2026

Clinical Clues to the Diagnostic Yield of Genetic Testing in Adults With Late-Onset Behavioral Change.

Joan Groeneveld, Sterre C M de Boer, Welmoed Krudop, Georgii Ozhegov, Marc Hulsman, Annemieke Dols, Cora J Kerssens, Sigfried Schouws, Frederik Barkhof, Henne Holstege and 3 more

Abstract read
In one paragraph

Article in Neurology. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Joan GroeneveldGenomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, the Netherlands.ORCID https://orcid.org/0009-0008-3852-4631
Sterre C M de BoerAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands.ORCID https://orcid.org/0000-0002-9595-7221
Welmoed KrudopAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands.ORCID https://orcid.org/0009-0000-0221-7471
Georgii OzhegovGenomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, the Netherlands.ORCID https://orcid.org/0000-0002-0777-6632
Marc HulsmanGenomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, the Netherlands.ORCID https://orcid.org/0000-0002-9889-3606
Annemieke DolsAmsterdam Neuroscience, Mood, Anxiety, Psychosis, Stress and Sleep, the Netherlands.ORCID https://orcid.org/0000-0003-1964-0318
Cora J KerssensDepartment of Old Age Psychiatry and Neuropsychiatry, GGZ InGeest Specialised Mental Health Care, Location De Nieuwe Valerius, Amsterdam, the Netherlands.ORCID https://orcid.org/0009-0007-2590-104X
Sigfried SchouwsDepartment of Old Age Psychiatry and Neuropsychiatry, GGZ InGeest Specialised Mental Health Care, Location De Nieuwe Valerius, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0003-0591-5405
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, the Netherlands.ORCID https://orcid.org/0000-0003-3543-3706
Henne HolstegeGenomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, the Netherlands.ORCID https://orcid.org/0000-0002-7688-3087
Yolande A L PijnenburgAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands.ORCID https://orcid.org/0000-0003-2464-1905
Sven J Van Der LeeGenomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, the Netherlands.ORCID https://orcid.org/0000-0003-1606-8643
Flora H DuitsNeurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands.ORCID https://orcid.org/0000-0002-3436-1125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The diagnosis of behavioral variant frontotemporal dementia is often difficult because behavioral change has a broad differential diagnosis. Genetic testing may aid in the diagnostic process. We investigated the prevalence of pathogenic genetic variants (PGVs) in individuals referred to our memory clinic with late-onset behavioral change and identified clinical "red flags" for PGV carriership, specifically in diagnostically ambiguous cases. Methods: Individuals presenting with late-onset behavioral change were included from the Late Onset Frontal Lobe Syndrome study (n = 88), Social Brain Project (n = 265), and Amsterdam Dementia Cohort (n = 349). PGV prevalence was calculated. Among diagnostically ambiguous individuals at baseline, univariate logistic regression models were fitted to identify clinical cues for PGV carriership. Based on these results, we fitted multivariate logistic regression models. We also assessed the association of cortical thickness and subcortical volumes with PGV carriership. Results: Among 702 individuals, 228 received a diagnosis in the frontotemporal lobar degeneration (FTLD) spectrum at baseline and 474 were diagnostically ambiguous. A total of 106 individuals (15%) carried a PGV (20% in FTLD; 13% in ambiguous cases). The most common PGV in both groups was the Discussion: Genetic testing for dementia-associated genes should be considered in all late-onset behavioral change cases. While we propose several clinical cues as "red flags" for PGV carriership, their absence should not preclude genetic counseling. The higher PGV prevalence among diagnostically ambiguous women suggests that FTLD may be underrecognized in women compared with men.

Identifiers

PMID42158267
PMCPMC13182741

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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.